PALO ALTO, Calif. — December 10, 2025 — Hazelcast, the real-time distributed computing and caching platform, today announced it has been named a Strong Performer by Forrester Research in The Forrester Wave™: Streaming Data Platforms, Q4 2025. Hazelcast believes this recognition reflects the company’s sustained momentum and the critical role its technology plays for enterprises requiring resilient, low-latency, and high-performance processing.

The report evaluated the 15 most significant streaming data platform providers, focusing on current offering, strategy, and customer feedback.

In an era where automated systems must make decisions in milliseconds, traditional batch processing and disjointed streaming architectures often fall short. Hazelcast believes its position in the Forrester Wave corroborates its unique architectural approach: a live data platform fusing high-performance stream processing directly with an in-memory data grid.

“For Hazelcast, being recognized as a Strong Performer showcases that the market is embracing Hazelcast’s vision of a unified live data platform,” said Eric Bochner, CEO of Hazelcast. “Enterprises are no longer just moving and storing data; they are automating actions with in-line processes. Whether it’s real-time payment processing or powering AI/ML, speed and resilience are the new currencies in modern applications. Hazelcast uniquely removes the trade-offs between processing power and data access speed, enabling our customers the ability to act the moment data is created.”

In its vendor profile, the report includes the following description of Hazelcast: “Hazelcast’s vision is to provide a high-performance streaming data platform that uses its in-memory engine to deliver ultra-low latency for real-time applications and AI agents. Its focus on extensibility and fault tolerance drives adoption among enterprises that need rapid, reliable data processing. It is investing in in-memory technology and platform integration to support low-latency streaming use cases.”

“Hazelcast excels at extensibility and fault tolerance, enabling robust performance for low-latency streaming workloads in enterprise applications. It supports use cases like real-time caching and low-latency analytics with high reliability for various industries, such as finance, e-commerce, and supply chain. It offers solid analytics and performance architecture,” the Forrester report concluded.

While many platforms focus strictly on moving data from point A to point B, Hazelcast allows organizations to process, store, and act on data within a single runtime. This “co-location” of compute and state delivers the sub-millisecond response times, scalability, and resilience essential for mission-critical use cases.

Momentum for the Real-Time AI Era

Hazelcast’s recognition comes as the company accelerates its roadmap to support the next generation of AI/ML. As organizations transition from batch AI/ML to real-time inference—executing predictions directly on live data—a resilient, ultra-fast state store paired with event processing becomes a foundational requirement.

Additional Resources

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .

About Hazelcast

Hazelcast is a live data platform for the Real-Time era. It instantly acts on data in motion by unifying streaming compute and in-memory storage in a single, resilient runtime. By processing data before it is stored, Hazelcast enables Global 2000 enterprises to build mission-critical, real-time applications that drive revenue, mitigate risk, and power AI/ML. Headquartered in Palo Alto, CA, Hazelcast powers mission-critical workloads for leaders in finance services, telecommunications, and retail. Learn more at www.hazelcast.com.

Palo Alto, Calif., August 20, 2024 — Hazelcast Inc. is announcing additions to its global partner program to modernize the data infrastructure of data-intensive applications and AI workloads, at a low total cost of ownership. Among the new partners joining Hazelcast’s program are Altron Digital Business (South Africa), Prospect 33 (Global) and SaH Analytics (Côte d’Ivoire). 

Trusted by the many Global 2000 companies, Hazelcast and its partners work closely with customers on modernization initiatives for AI and critical applications requiring high performance, resilience, strong data consistency and scalability. With deep expertise using the  Hazelcast Platform, these partners will guide customers through key phases of application development, specifically:

  • Day 0 – Design and prototyping
  • Day 1 – Development and deployment
  • Day 2 – Maintenance, monitoring and optimization

Hazelcast’s global ecosystem of specialized partners enables companies worldwide to improve business performance by responding instantly to real-time events to grow revenue, improve efficiency, and mitigate risk.

“Last year, we saw unprecedented demand for our platform because it enables companies to modernize their applications with an architecture that addresses the key requirements of business-critical applications at a low total cost of ownership,” said Karen Smith, chief revenue officer (CRO) at Hazelcast. “With the addition of our new partners, companies will benefit from localized technical advisory services to deploy a high-performance and resilient data infrastructure for customer modernization projects, especially those focused on real-time and AI applications.”

The new Hazelcast partners are:

  • Altron Digital Business harnesses the power of data, technology, and human ingenuity to solve real-world problems for its customers. Its expertise and proven success provide customers with significant savings and contribute positively to top-line revenue growth and profitability.
  • Prospect 33 is focused on revolutionizing wholesale capital markets through AI-powered digital transformation. The company is highly regarded in the global banking industry with 15+ years of experience in the domain. Their approach combines machine learning technology with deep domain and data expertise, delivering advanced analytics and automation solutions in areas of financial services that traditional technologies have struggled to deliver. The Hazelcast unified real-time data platform will become a strong asset in the toolbox of technologies and solutions that Prospect 33 can use to deliver on their client’s needs and continue to push technological advances into all aspects of the global capital markets industry.
  • SaH Analytics International, an established leader in AI and cybersecurity, has an enviable position in West Africa as a local company with a long history of bringing innovative technologies to the government and the private sector. SaH Analytics is an ideal partner to lead Hazelcast’s growth across West Africa, one of the world’s fastest-growing economic regions. With a successful team and office in France, SaH will be crucial to Hazelcast’s long-term strategy to grow in Europe’s third-largest economy.

Hazelcast Platform Adds Vector Search

Hazelcast Platform uniquely combines many of the key elements for modern and AI-centric applications, including distributed compute, in-memory data storage and intelligent integration. In July, Hazelcast released an update to its platform featuring vector search as a preview for enterprise customers.

The introduction of vector search in Hazelcast Platform enables enterprises to deploy a high-performance pipeline to query structured and unstructured data. It offers the flexibility to generate vector data structures and embeddings from text plot summaries, delivering new efficiencies for data scientists to provide data insights. 

Partner Quotes

“Hazelcast is a valued partner for Altron, and our robust collaboration has proven instrumental in enhancing our brand’s trustworthiness and expanding market visibility. Our presence in South Africa presents a unique opportunity for mutual growth, further solidifying our position as leaders in the industry in support of our customers’ business goals.” – Burger Lourens, Head of Retail Practice at Altron

“By deploying the Hazelcast Platform in our Capital Markets Clients, Prospect 33 has significantly enhanced our solution offerings, providing faster real-time event identification, reducing complexity and costs, and ensuring better protection of customer data across platforms.” – Dominic Lewinsohn, President at Prospect 33.

“We at SaH Analytics are thrilled to partner with Hazelcast, as their innovative in-memory computing solutions perfectly complement our mission to deliver real-time, data-driven insights. This collaboration will empower our clients with enhanced performance.” – Dr. Moussa Traoré, General Manager at SaH Analytics International

About Hazelcast

Hazelcast is a leading software provider powering mission-critical applications that move the economy.

Hazelcast Platform is the foundational architecture providing core capabilities for AI and critical applications. With a revolutionary approach, Hazelcast Platform combines distributed compute, in-memory data storage, intelligent integration, and vector search to simplify application development, deployment, and maintenance. The platform is relied upon by many Global 2000 enterprises in financial services, e-commerce, logistics, and other industries that are vital to the daily essential activities of individuals and businesses. For more information, visit hazelcast.com.

Palo Alto, Calif., July 30, 2024—Hazelcast, Inc. is announcing the introduction of vector search in the latest release of its flagship product, Hazelcast Platform. The platform delivers a core architecture that combines distributed compute, in-memory data storage, intelligent integration and vector search, all of which are key requirements for enterprise AI and critical applications. 

The introduction of vector search in Hazelcast Platform enables enterprises to deploy a high-performance pipeline to query structured and unstructured data. It offers the flexibility to generate vector data structures and embeddings from text plot summaries, delivering new efficiencies for data scientists to provide data insights. 

“The integration of vector search in Hazelcast Platform provides the core functionality and foundation upon which developers can modernize business-critical applications and innovate for the AI era,” said Adrian Soars, CTO of Hazelcast. “This latest release furthers Hazelcast’s mission to simplify technology stacks and reduce total cost of ownership, enabling technology leaders to shift budget to AI initiatives and innovation.”

In addition to unifying multiple components in a single solution, Hazelcast Platform provides significant performance gains over most competitors, especially when factoring in vector embeddings and retrievals. In internal benchmark tests of 1 million OpenAI angular vectors, Hazelcast Platform outperforms competitors, consistently delivering single-digit millisecond latency when uploading, indexing and searching vectors with 98% precision.

While applicable to all industries, vector search can immediately benefit transaction authorization applications. For example, in financial use cases such as know-your-customer (KYC) and anti-money laundering (AML), vector search can augment and expedite the verification process with semantic search across text, imagery and other sources to improve the accuracy and speed of determining whether a transaction is legitimate or fraudulent.

Advancements in compute, resilience and continuity

In addition to vector search, Hazelcast Platform continues to advance its capabilities, which provide greater flexibility, resilience and performance for enterprise applications.

  • Jet Job Placement Control enables customers to separate the compute functionality of Hazelcast Platform nodes from the data store component to provide further flexibility and resilience for compute-intensive workloads.
  • Client Multi-Member Routing improves resilience, performance and control for applications connecting to geographically dispersed clusters.

Availability and support

Hazelcast Platform 5.5 is generally available today. The vector search integration is available as a preview in Hazelcast Platform 5.5 Enterprise Edition, and it is expected to be available for production use in Q4 of this year.

Resources

About Hazelcast

Hazelcast is a leading software provider powering mission-critical applications that move the economy.

Hazelcast Platform is the foundational architecture providing core capabilities for AI and critical applications. With a revolutionary approach, Hazelcast Platform combines distributed compute, in-memory data storage, intelligent integration, and vector search to simplify application development, deployment, and maintenance. The platform is relied upon by many Global 2000 enterprises in financial services, e-commerce, logistics, and other industries that are vital to the daily essential activities of individuals and businesses. For more information, visit hazelcast.com.

Palo Alto, Calif., June 11, 2024 – Hazelcast, Inc., the company that enables instant action on all data, announces Anthony Griffin as its chief architect, bringing one of the industry’s leading experts on distributed compute to the company. In his new role, Griffin will apply his serverless compute and financial systems expertise to evolve Hazelcast’s unified real-time data platform and ensure it exceeds customer expectations of data infrastructure for mission-critical and AI applications.

Griffin brings over 25 years of experience designing and building compute-intensive applications, including most recently as a senior engineering leader at AWS Lambda, an event-driven, serverless compute platform provided by Amazon. Before that, Griffin spent more than half of his career in front offices of major financial institutions, including Danske Bank, Nomura, HSBC, and more, where he built reactive low-latency trading systems and AI-based trade monitoring platforms.

“Anthony’s background in serverless compute will be instrumental in guiding our product strategy and addressing the needs of our customers as they encounter the data-intensive workloads of mission-critical and AI applications,” said Adrian Soars, chief technology officer at Hazelcast. “While the majority of our customers are the world’s largest financial enterprises, his experience will help all industries navigate the changing technology landscape and solve the data challenges they face daily, especially after an application’s deployment.”

At Hazelcast, Griffin will lead a team focused on evolving Hazelcast Platform’s architecture and ensuring it maintains its leadership position as a high-performance data platform. In pursuit of this goal, he will work closely with the company’s Global 2000 customer base to ensure Hazelcast and its technologies deliver the performance, resilience, and scalability required to modernize mission-critical and AI applications.

“Hazelcast’s reputation of simplifying the complex world of distributed compute technologies is one I’ve long admired,” Griffin said. “With enterprises shifting focus and budget to expedite their AI initiatives, my goal is to ensure our platform mitigates their day zero data infrastructure challenges.”

Griffin’s hiring is the latest in a series of leading experts to join Hazelcast’s leadership team. He will report to Soars, who joined in November 2023. More recently, Stephen Weston was appointed chief scientist and is responsible for Hazelcast’s AI strategy. All three hires bring extensive financial services, compute, and AI backgrounds to Hazelcast.

More on Hazelcast Platform

Hazelcast Platform is a unified real-time data platform encompassing fast data storage, in-line compute, and data access for real-time and AI applications. This unified approach simplifies application architectures, significantly reducing total cost of ownership (TCO) from prototyping and designing (Day 0) through developing and deploying (Day 1) and maintaining, monitoring, and optimizing applications (Day 2).

In April, Hazelcast released its latest version, Hazelcast Platform 5.4, setting new industry standards in strong data consistency and performance for data-intensive, mission-critical workloads. Among the new features in the release are an advanced CP Subsystem for strong data consistency and a thread-per-core (TPC) architecture, which delivers a 30 percent performance improvement on large workloads.

Additional Resources

About Hazelcast

The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on all data. Its platform uniquely combines a distributed compute engine and fast data store integrated into a single solution businesses can simplify event-driven architectures for real-time and AI/ML applications to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

Customers such as JPMorgan Chase, Volvo, New York Life, Target, and Domino’s use Hazelcast to underpin their business-critical and real-time applications, such as payments, fraud detection, trade monitoring, in-game betting, IoT edge computing, customer 360, real-time offers, and AI/ML deployments.

To join our community of CXOs, architects, and developers, visit hazelcast.com.

LAS VEGAS, May 13, 2024 — Hazelcast, Inc., the company that enables instant action on all data, announces that it is a Silver Exhibitor at the 2024 Gartner® Application Innovation & Business Solutions Summit in Las Vegas. Hazelcast will showcase its high-performance, resilient and scalable unified platform as a core data infrastructure component for real-time and AI application workloads. 

Gartner Application Innovation & Business Solutions Summit focuses on the future of applications, where new user experiences, new capabilities and new platforms are required to maximize the business value of existing and new application investments. The Summit connects analysts, technology leaders, and vendors for sessions, demos, and conversations on new and emerging technologies for application modernization initiatives.

Hazelcast at the 2024 Gartner Application Innovation & Business Solutions Summit

During Gartner’s three-day event, the Hazelcast team (booth #119) will meet with CTOs, application architects and engineering leaders to discuss innovative approaches to solving application modernization challenges, including the need for fast data access and compute for data-intensive, mission-critical applications and AI workloads. Attendees will meet with the Hazelcast team to learn more about its unified real-time data platform and how it equips businesses with a competitive edge that delivers improved performance and strong data consistency at a lower total cost of ownership, which is an important requirement across many industry use cases, such as financial services, adtech, sports betting and gaming, video gaming, etc.

Topics include: 

  • Core tenets of application modernization and the difference between traditional AI/ML capable of learning in real-time.
  • How to achieve smarter AI and context-aware applications through integrated, stream-based data storage and processing. 
  • Approaches to achieving the performance, resilience, and scale necessary for modern applications to maximize IT investments without incurring developer overhead.
  • Working examples of real-time, data-rich intelligent applications, including real-time payment processing and fraud detection with real-time ML.

Building a Robust and Scalable Platform for New Business at Fanatics Betting and Gaming

On May 14, Jesse Cary, Vice President of Engineering at Fanatics Betting and Gaming, will share his innovative approach to addressing the challenges of building a high-performance and resilient application for the company’s new business venture, Fanatics Sportsbook and Casino. During his session, Cary will provide insights and learnings of architecting a high-performance and resilient service with Hazelcast Platform to deliver an engaging and seamless experience that connects Fanatics’ core business with its new betting and gaming division.

Session highlights include:

  • Practical ways to avoid slow performance in a high-performance, highly distributed real-time service.
  • A data-driven and performance-optimized approach to building valuable customer and business services, such as real-time targeted promotions.
  • Delivering a premier customer experience with streaming data at scale.
  • Enhancing business operations through real-time analytics.

“Our success depends on meeting the individual needs of millions of fans across many of our applications, from team merchandise to online gaming,” said Cary. “Our applications and business goals require a high-performance and resilient data platform capable of operating under intense demands during the world’s largest sporting events. I’m thrilled to showcase our work and connect with peers at the summit.”

According to Gartner1, “Software engineering leaders are under continuous pressure to adopt modern architectures and technologies. To do this well, they need to know which trends have the greatest potential impact for their digital business efforts within an actionable planning horizon,” said Joachim Herschmann, VP Analyst at Gartner.

More on Hazelcast Platform

A recent survey revealed that 40% of financial services companies lack the proper data infrastructure, and 35% lack the appropriate technology infrastructure for AI initiatives2. Hazelcast Platform is a unified real-time data platform encompassing fast data storage, in-line compute, and data access for real-time and AI applications. This unified approach simplifies application architectures, significantly reducing total cost of ownership (TCO) from prototyping and designing (Day 0) through developing and deploying (Day 1) and maintaining, monitoring and optimizing applications (Day 2).

Last month, Hazelcast released its latest version, Hazelcast Platform 5.4, setting new industry standards in strong data consistency and performance for data-intensive, mission-critical workloads. Among the new features in the release are an advanced CP Subsystem for strong data consistency and a thread-per-core (TPC) architecture, which delivers a 30 percent performance improvement on large workloads.

To learn more, meet the Hazelcast team at booth #119 or schedule a personalized demo.

Resources

(1) Gartner, Inc. Press Release, “Gartner Identifies the Top Strategic Technology Trends in Software Engineering for 2023 and Beyond,” September 14, 2023. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

(2) “EY Survey: AI adoption among financial services leaders universal, amid mixed signals of readiness,” Ernst & Young, 2023.

About Hazelcast

The world’s leading companies trust Hazelcast and its unified real-time data platform for mission-critical and data-intensive workloads that require high performance, resilience, and scale. Customers such as JPMorgan Chase, Volvo, New York Life, Target, and Domino’s rely on the Hazelcast Platform for application modernization initiatives and AI/ML deployments.

Hazelcast enables companies across every industry to drive new revenue, mitigate risk, and improve operational efficiencies – at a low total cost of ownership. Top banks and credit card companies rely on Hazelcast for payments, processing billions of dollars per second of domestic and cross-border payments, avoiding $100 million per year in fraud loss. Manufacturing, shipping and services companies rely on Hazelcast to optimize the utilization of equipment and resources in real-time to save 33% in operational costs. 

The Hazelcast unified real-time data platform uniquely combines a distributed compute engine and fast data store into a single runtime to process real-time data, enrich it with historical context and enable real-time ML inference.

To join our community of CXOs, architects, and developers, visit www.hazelcast.com.

Palo Alto, Calif., April 4, 2024 – Hazelcast, Inc., the company that enables instant action on all data, announces Dr. Stephen Weston as its chief scientist, bringing deep ML and AI expertise to Hazelcast’s leadership in AI application and data infrastructure. Leading Hazelcast’s AI research and development, Weston will be instrumental in guiding the company’s strategy and application of AI within the Hazelcast Platform and the product roadmap that supports the needs of our Global 2000 customers.

Weston, a Ph.D. in mathematical finance, brings 30 years of experience to the role in areas such as AI, risk management, and mathematical modeling. He has built and led teams of up to 100 developers powering the front office of investment banks with algorithmic design, high-performance computing, and low-latency trading. Previously, Weston was managing director in global credit trading at JPMorgan Chase. Most recently, as a partner in the Risk Advisory practice at Deloitte LLP, he managed the transition to machine learning and agent-based models for risk management, model development, and model validation.   

“Steve’s expertise and vision enhance our ability to deliver innovative AI-based solutions that drive value for customers across industries, including financial services, where AI functionality is rapidly making inroads,” said Adrian Soars, Hazelcast chief technology officer. “Our goal is to simplify and speed up our customers’ AI innovation, enabling their applications to take real-time intelligent action with the performance and scale required by more sophisticated models for AI/ML. Steve’s AI expertise will prove critical in meeting that goal.”

Today, 99% of financial services leaders are either already using or planning to use AI functionality specifically within their organization, according to the 2023 Financial Services GenAI Survey (Ernst & Young LLP). As organizations chart the path to GenAI integration, those surveyed revealed that 40% lack the proper data infrastructure, and 35% lack the proper technology infrastructure. Organizations that are investing in application modernization now ready for this wave of AI will reap the benefits, including enhanced customer experience, higher revenue growth, improved operational efficiencies, and differentiation for competitive advantage.

To support its customers’ AI initiatives, Hazelcast’s AI strategy is organized around three overarching principles:

  1. data driven, 
  2. innovation led, and 
  3. product focused. 

“Simplicity dominates everything, especially in this AI era. Simplicity or ease of use also means ease of learning and building the best possible solutions for customers,” Weston said. “My goal is to work closely with our customers to deliver the AI features they require to simplify and accelerate application modernization and extract the maximum value from their data for improved operations and competitive advantage.”

Weston is also a distinguished researcher and author of peer-reviewed articles showcasing advanced research and work in areas such as agent-based modeling, spiking neural networks, ordinal pattern encoding of financial time series, and bilateral and multilateral competition in financial markets. In addition to his position as chief scientist at Hazelcast, Weston supervises academic research in the department of computing at Imperial College London, where the research group develops models that integrate technology, science and finance. 

Weston’s appointment follows the recent addition of CTO, Adrian Soars to the Hazelcast leadership team. Soars, a 25-year veteran in high-performance data architectures and payment processing, joined Hazelcast in November. He and Weston are leading a deep bench of fintech and AI experts at Hazelcast.

“Hazelcast leads the industry in enabling applications to take advantage of event-driven architectures with distributed compute which provide the foundation of real-time and AI-driven applications,” said Kelly Herrell, Hazelcast CEO. “Steve’s contributions will be instrumental in supporting Hazelcast customers’ mission-critical workloads, unlocking revenue, boosting efficiency, and reducing risk.”

Delivering Value to Customers

Trusted by many Global 2000 brands, two-thirds of the world’s transactions pass through Hazelcast-powered applications. With its market-leading technology and rapid adoption of real-time and AI applications, the Hazelcast Platform enables companies to simplify and accelerate application modernization and innovation at a lower total cost of ownership. 

Today, customers such as JPMorgan Chase, New York Life, Target, and Volvo use the Hazelcast Platform – often to support AI/ML deployments – for their real-time applications, such as payments, fraud detection, trade monitoring, in-game betting, IoT edge computing, real-time offers, and customer 360. Customer results include: 

  • boosting loan conversion rates by 400% through personalized offers in the moment of need, 
  • avoiding losses of $100 million a year with improved fraud detection, 
  • reducing operational costs by 30% by optimizing the use of equipment and resources in real-time, 
  • and processing more than $1 billion (USD) per minute for a global financial institution

Hazelcast Platform stands out from other data platforms by enabling durable transactions in the same platform as streaming analytics and processing. By taking instant actions on streaming data without leaving the platform, enterprises can achieve the lowest possible latency.

Additional Resources

About Hazelcast

The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on all data. Its platform uniquely combines a distributed compute engine and fast data store integrated into a single solution businesses can simplify event-driven architectures for real-time and AI/ML applications to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

Customers such as JPMorgan Chase, Volvo, New York Life, Target, and Domino’s use Hazelcast to underpin their business-critical and real-time applications, such as payments, fraud detection, trade monitoring, in-game betting, IoT edge computing, customer 360, real-time offers, and AI/ML deployments. To join our community of CXOs, architects, and developers, visit www.hazelcast.com.

PALO ALTO, Calif. Feb. 22, 2024 — Hazelcast, the company that enables instant action on all data, today announced record results for 2023. In a year where business slowed for most SaaS vendors, strong new adoption of Hazelcast drove revenue up 32%. In addition, net dollar retention was 120%, driven by expansions across over half of existing customers. This performance sets Hazelcast up for an even stronger 2024, including being cash flow-positive in the first half of the year.

With market-leading technology and rapid enterprise growth in real-time and AI applications, Hazelcast is well-positioned to help companies simplify and accelerate application modernization and innovation at a lower total cost of ownership (TCO). More recently, Hazelcast earned broad industry recognition from analysts, including Forrester, as a leader in the emerging unified real-time data processing category. Analysts identified Hazelcast’s strengths in data enrichment, resilience, and throughput, which are critical to enterprise AI efforts.

“The world’s most demanding enterprises trust Hazelcast because they require exceptional infrastructure resilience and performance at a lower total cost of ownership, all hallmark traits of our unified real-time data platform,” said Kelly Herrell, Hazelcast CEO. “Through our close relationships with these customers and an accelerated roadmap, Hazelcast is in an enviable position of self-sustained growth this year and onward, as workloads rapidly include a variety of AI functionality.”

Today, customers such as HSBC, JPMorgan Chase, Volvo, New York Life, Target, and Domino’s use the Hazelcast Platform – often in the form of AI/ML deployments – for their real-time applications, such as fraud detection, cross-border payments, trade monitoring, in-game betting, IoT edge computing, customer 360, and real-time offers. Customer results include boosting conversion rates by 400% through personalized offers in the moment of need, avoiding losses of $100 million with improved fraud detection, reducing operational costs by 30%, and processing more than 100,000 transactions per second.

Category Creator

Hazelcast Platform is unlike other streaming data platforms because its “strategic innovation lies in also providing an extremely low-latency transactional platform. Creating durable transactions in the same platform as streaming analytics and processing enables enterprises to take instant actions on streaming data without leaving the platform. The result: the lowest possible latency. Hazelcast has done yeoman’s work in bringing these capabilities together in one platform,” wrote Mike Gualtieri, Forrester VP and principal analyst, per the Forrester Wave Streaming Data Platforms report.

“Don’t think of the Hazelcast Platform as just a cache for storing and reading data,” said Michael Goldverg, Managing Director and Distinguished Engineer at BNY Mellon. “It’s a high-performance distributed storage and compute platform for ultra-fast data processing. You can use it to reduce processing time from minutes to milliseconds. Instead of retrieving then computing the data, you can push the processing where the data resides. We are further optimizing data processing by analyzing streaming data, from multiple sources, including Kafka, before it is stored instead of processing in batches.” 

Lowering Total Cost of Ownership

Leveraging a unified data processing architecture enables enterprises to realize more value from infrastructure investments while gaining greater efficiencies and scale. Rather than ripping and replacing existing infrastructure, the Hazelcast Platform fits within the existing stack to enable ultra-fast storage and compute. It quickly and easily connects to popular data sources, including databases, data lakes, streaming data, and traditional message buses to accelerate time-to-market for next-generation applications and platforms while lowering the TCO. 

Underpinning AI Applications

Nearly one-third of executives surveyed by Deloitte identify data-related challenges among the top three concerns hampering their company’s AI initiative. To effectively implement AI, organizations require a modern, robust data infrastructure. Organizations that can fuel AI with data and computing power can turn their investment into both value and profits.  

Large language models (LLMs) are the foundation of modern AI applications. To overcome LLM limitations, applications must be enriched with historical and real-time contextual data. Hazelcast is well-positioned to accelerate its growth trajectory because its unified platform enables enterprises to provide enriched, real-time contextual data for LLM-powered applications and ensure the delivery of accurate, up-to-date, and personalized outputs through AI applications. 

“As enterprises push hard to develop AI solutions, we make it easier for them to do so smoothly and successfully while minimizing the impact on budget and people resources,” said Adrian Soars, Hazelcast CTO. “Hazelcast is built to meet the needs of the world’s largest customers and now we are there to help power their AI initiatives and LLMs, all at a low TCO.”

For more on what makes Hazelcast so impactful, hear from BNY Mellon on how its use of the Hazelcast Platform enabled it to shift data processing speeds from minutes to milliseconds.

Resources 

About Hazelcast

The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on all data. The platform uniquely combines a distributed compute engine and a fast data store into a single runtime to process both streaming and batch data to enable instant and intelligent action.

The platform uniquely combines a distributed compute engine and fast data store integrated into a single solution, and businesses can simplify real-time architectures for next-gen applications and AI/ML deployments to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

Customers such as HSBC, JPMorgan Chase, Volvo, New York Life, Target, and Domino’s use Hazelcast to underpin their business-critical and real-time applications, such as fraud detection, payments, trade monitoring, in-game betting, IoT edge computing, customer 360, real-time offers, and AI/ML deployments. To join our community of CXOs, architects, and developers, visit www.hazelcast.com.

Media Contact
Matt Wolpin
Sr. Director, Brand & Communications, Hazelcast
[email protected]

SAN MATEO, Calif., Dec. 6, 2023 — Hazelcast, the company that enables instant action on streaming data, today was named a Strong Performer in The Forrester Wave™: Streaming Data Platforms, Q4 2023. As described in The Forrester Wave, Hazelcast offers “a breath of fresh air in the streaming data platform market…,” and “foretells the future of streaming….”

Published by the global analyst firm, Forrester Research, the Wave report evaluates 14 vendors across multiple areas of criteria. Hazelcast received the highest score possible in six criteria, including:

  • Vision
  • Innovation
  • Roadmap
  • Enrichment
  • Throughput
  • Latency

At the center of many application modernization projects is a need for instant, automated action on real-time data to grow revenue, improve operational efficiency, and mitigate risks. As the Forrester report states, “streaming data is the pulse of an enterprise,” and Hazelcast views stream processing as a critical component of real-time application architectures. Many Global 2000 customers trust Hazelcast and its platform to act instantly on streaming data for real-time use cases, including tailored offers at the point of sale, fraud detection, payment processing, order tracking, and more.

“Hazelcast is an ideal fit for enterprises that need to build real-time applications that must be tightly integrated with systems of record because of their transactional capabilities,” wrote Mike Gualtieri, VP, principal analyst at Forrester Research.

“As a former technology buyer, I frequently consulted The Forrester Wave to discover the industry’s cutting-edge technology providers that I should consider for strategic, mission-critical projects. Now, as the head of product strategy at Hazelcast, the team and I are immensely proud of our position in the streaming data platform report,” said Adrian Soars, CTO at Hazelcast. “Furthermore, I’m excited to level up our strategy so we continue to gain ground as the most innovative and valuable technology in this market.”

Per The Forrester Wave, Hazelcast is unlike other streaming data platforms in that its “strategic innovation lies in also providing an extremely low-latency transactional platform. Creating durable transactions in the same platform as streaming analytics and processing enables enterprises to take instant actions on streaming data without leaving the platform. The result: the lowest possible latency. Hazelcast has done yeoman’s work in bringing these capabilities together in one platform.”

By the numbers: The Forrester Wave Streaming Data Platforms, Q4 2023:

  • 21: The total number of criteria relevant to streaming data products and used to evaluate vendors across three categories: Current Offering, Strategy, and Market Presence.
  • 14: The number of vendors evaluated in the Streaming Data Platforms report.
  • 6: The number of criteria in which Hazelcast received the highest score possible.
  • 5: The highest score possible in the report. Hazelcast earned a “5” in the throughput, roadmap, latency, enrichment, vision, and innovation criteria.

Hazelcast Platform is a unified real-time data platform that enables companies to act instantly on streaming data. It combines high-performance stream processing capabilities with a built-in fast data store for businesses to easily enrich streaming data with historical context to continuously uncover hidden actionable insights. This unified architecture reduces the number of moving parts in your infrastructure and removes much of the complexity of developing and deploying sophisticated business-critical applications.

About Hazelcast

The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on streaming data. With a stream processing engine and fast data store integrated into a single solution, businesses can simplify real-time architectures for next-gen applications and AI/ML deployments to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

To join our community of CXOs, architects, and developers at brands such as HSBC, JPMorgan Chase, Volvo, New York Life, Domino’s, and others, visit hazelcast.com.

Media Contact
Matt Wolpin
Sr. Director, Brand & Communications, Hazelcast
[email protected]

Seattle and Palo Alto, Calif., November 6, 2023 – Hazelcast, Inc., the company that enables instant action on streaming data, is proud to be a Gold Sponsor of Flink Forward 2023 in Seattle. At the stream processing focused event, Hazelcast is showcasing its unified real-time data platform and its ability to modernize and enhance applications, while lowering the total cost of ownership (TCO). 

Flink Forward, the annual Apache Flink® community conference, welcomes stream processing architects and developers to share best practices for building scalable streaming infrastructure and enterprise-grade applications. At the show, Hazelcast will host a live demo session on how to build real-time stream processing applications with a simplified architecture, performance at scale, and business-critical reliability.

Companies that want to take instant action on streaming can gain advantages and a competitive edge with Hazelcast. The Hazelcast Platform combines historical and streaming data in one unified platform with multiple clients, SQL support, and ML model serving. So instead of storing data, and missing opportunities by the second, the Hazelcast platform can take in data, process it, and enrich it to take action instantly.

“If you’re building applications, you must multiply the learning curve, development, deployment, and maintenance costs by the number of technologies and frameworks you use. Hazelcast offers a unified platform to do it all,” said Fawaz Ghali, principal data science architect and head of developer relations at Hazelcast. “The stream processing community is growing rapidly and eager to learn about new approaches. We can’t wait to show Flink Forward attendees how a unified architecture simplifies application development and maintenance, resulting in lower total cost of ownership so teams can focus more on innovative work that impacts the business.” 

During the demo session, app developers, architects, data engineers, and DevOps professionals can expand their stream processing knowledge of developing high-performance, large-scale stream processing applications, including:

  • how to get started with a unified real-time data platform for instant action on streaming data
  • reduce the complexities of development, deployment, and maintenance of real-time stream processing architectures; and
  • choose the right technologies with performance, simplicity, predictability, and cost-efficiency in mind.

Other Ways to Join Hazelcast at Flink Forward 2023

  • Seattle JUG (at VMware office in Bellevue): Monday, November 6 from 6:00 – 8:00 p.m. Hazelcast will host a conversation entitled, “Boosting Similarity Search with Real-Time Stream Processing.” Registration information is available here.
  • Flink Forward Demo Session: Wednesday, November 8 at 1:00 p.m. Hazelcast Principal Data Science Architect Fawaz Ghali is presenting, “Building Real-time Stream Processing Without Migraines Using Hazelcast.” More information is available here.

Additional Stream Processing Resources

About Hazelcast
The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on streaming data. With a stream processing engine and fast data store integrated into a single solution, businesses can simplify real-time architectures for next-gen applications and AI/ML deployments to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

To join our community of CXOs, architects, and developers at brands such as HSBC, JPMorgan Chase, Volvo, New York Life, Domino’s, and others, visit hazelcast.com.

Media Contact
Matt Wolpin
Sr. Director, Brand & Communications, Hazelcast
[email protected]

Palo Alto, Calif., November 1, 2023 – Hazelcast, Inc., the company that enables instant action on streaming data, announces Adrian Soars as its chief technology officer (CTO), bringing proven expertise in artificial intelligence (AI) and the architecture and implementation of high-performance data platforms.

Throughout his career, Soars has successfully directed and implemented technology strategies to drive revenue growth, enhance operational efficiency, and develop innovative solutions for a wide range of payment processing and trading use cases. With more than 25 years in financial services, Soars focuses on complex use cases and the use of innovative technologies, such as AI and machine learning (ML), to transform financial transactions, enhance security through real-time fraud detection, extract valuable insights from transactional data, and ensure regulatory compliance.

Most recently, Soars served as CTO of AI firm Napier. Additionally, he has held senior leadership positions at prominent investment banks and financial services firms, including TD Securities, Standard Chartered Bank, ADS Securities, Deutsche Bank, and others. 

“Companies are investing in solutions that reduce the complexity of building and deploying real-time architectures for applications to drive revenue growth, avoid risks, and improve operational efficiency,” said Kelly Herrell, CEO of Hazelcast. “Adrian’s passion for solving complex problems and his experience designing real-time architectures for some of the world’s largest tech programs is a wealth of information we cannot wait to share with our customers.”

As Hazelcast CTO, Soars leads research and development (R&D) to ensure Hazelcast maintains a strong technological leadership that translates into a competitive advantage for customers. Furthermore, Soars will add capabilities to the platform to further reduce the total cost of ownership (TCO) of building, deploying, and maintaining real-time applications.

“Being on the buyer’s side, I’ve always factored simplicity into my purchase decisions, which is why I used Hazelcast for several years before joining the company,” Soars said. “The Hazelcast Platform is seriously impressive software and delivers true real-time capabilities for enterprises. And, when you factor in the platform’s unified architecture, it will make life easier for application development teams by mitigating the headaches all too common with a do-it-yourself approach.”

Soars joins Hazelcast at a time of world-class growth, often outperforming IT industry peers. Comparing the first half of this year to the same period last year, Hazelcast achieved 2x higher growth in new business, more than doubling its pipeline, and world-class rates for customer retention and expansion. 

Many Global 2000 customers trust Hazelcast and its platform to act instantly on streaming data for real-time use cases ranging from real-time tailored offers at the point of sale, fraud detection, payment processing, order tracking, and more. 

Hazelcast was recently included in the Gartner Market Guide for Event Stream Processing (ESP) as a unified real-time data platform, a new category within the family of event stream processing technologies. The recognition from Gartner and the introduction of a new category match the significant growth in demand Hazelcast continues to achieve. 

Additional Resources

About Hazelcast
The world’s leading companies trust Hazelcast and its unified real-time data platform to take instant action on streaming data. With a stream processing engine and fast data store integrated into a single solution, businesses can simplify real-time architectures for next-gen applications and AI/ML deployments to drive new revenue, mitigate risk, and operate efficiently – at a low TCO.

To join our community of CXOs, architects, and developers at brands such as HSBC, JPMorgan Chase, Volvo, New York Life, Domino’s, and others, visit hazelcast.com.

Media Contact
Matt Wolpin
Sr. Director, Brand & Communications, Hazelcast
[email protected]