Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Hazelcast IMDG accelerates risk management reporting and decreases risk exposure.
Hazelcast In-Memory Computing Platform provides a market-leading set of features that are perfectly suited to unifying corporate risk data, making the needed analytics and reporting easier on your organization — and doing all of this across a highly available, low-latency platform.
It has become increasingly important for businesses to provide accurate and timely risk reporting to regulatory agencies. Having accurate and easily available information isn't just convenient, it's required.
Older risk management systems store data in relational databases (RDBMS), sometimes using third-party software and schemata, which often leads to delays in access, and increases risk of non-compliance. Hazelcast In-Memory solutions eliminate this issue entirely.
The transfer of financial data from front-end to back office and systems of record is often a fragile, batch-oriented process. Data can be lost or corrupted in transit, and guess who's held responsible?
Integrating back-end systems of record with front-end customer information systems often requires lengthy development projects to compensate for mismatched schemata and platforms. Storing all this information in-memory removes this problem.
Why Most Data Stores Fall Short
Why Hazelcast IMDG is Ideal
Due to differences in schemata, relational databases often have difficulties exchanging data in real time or even batch.
Hazelcast IMDG is a schema-less data store that can adapt to the changing data needs of your organization, significantly accelerating time to production.
RDBMS solutions have a high cost of initial development in terms of software and hardware, as well as with ongoing maintenance.
Hazelcast IMDG can scale with much less effort than NoSQL and RDBMS, reducing operational involvement and associated hardware costs.
For real-time analytics on large volumes of data, NoSQL and RDBMS solutions suffer from latency issues, as both may store only a subset of data.
As a fully in-memory data store, Hazelcast IMDG can transform and ingest data in microseconds, providing throughput and query.
Database-to-grid architectures require movement of data back and forth, creating more points of failure, more hardware requirements, and a dramatic increase in job processing time.
Hazelcast IMDG is both a distributed computation system and a data store in the same footprint — eliminating network transit latency penalties from moving data back and forth.
When sub-second speed matters, and it always does
2-3X faster than Redis
Security without compromise
10K TPS w/SSL/TLS 1.2 w/Open SSL
Don’t just meet SLAs, comfortably exceed them
Meet Compliance Requirements More Easily
Hazelcast In-Memory solutions can make compliance a matter of minutes, rather than a matter of days.
Simplify and Accelerate Your Infrastructure
Remove latency challenges associated with depending on back-end systems of record by keeping all relevant data in-memory for quick and easy access.
Scale and improve your performance elastically, reducing hardware requirements and driving efficiency.
Learn about the requirements of how businesses provide accurate and timely risk reporting to regulatory agencies from a disparate set of systems, from legacy to cloud-based, using in-memory computing technology.
This case study presents a comparison of alternative data stores and approaches, showing how a leading software and system solution provider to the trust, investment, brokerage, mutual fund, and 401(k) industry used Hazelcast IMDG® to do a complete overhaul of their risk system.
Hazelcast® has been widely deployed in numerous industries by global enterprises. Why? Hazelcast Enterprise software is a critical middleware solution that enables organizations to deploy
a flexible and scalable data fabric, one that scales elastically and introduces a high-performance, in-memory speed for critical applications such as e-commerce, financial risk calculation, banking,
gaming, microservices, and more.
In the search for growth and competitive advantage, banks are opening up their core capabilities to third parties. The ambition is to create innovative products and services more tailored to customers’ needs and expectations. This is setting the stage for dramatic changes in the banking industry which, in turn, creates new technical challenges. In this white paper, you will gain insight into how these challenges can be overcome with the Hazelcast Open Banking platform.
This white paper is intended for line-of-business managers, software developers, and systems architects who are researching technology solutions to capitalize on U.K. Open Banking Standard and European Union “Revised Payment Service Directive” PSD2.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.