Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
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. Join this webinar on April 11th at 8:00 am PT / 11:00 am ET / 4:00 pm GMT 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!
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The in-memory speed you count on, with the convenience and scalability of cloud.
Lightweight, embeddable, powerful.
Looking for DEVELOPER specific content? Jet.Hazelcast.org | Jet Open Source
Overview
In today’s digital era, new systems are required that can deliver information with the time-sensitivity to meet rising business and consumer expectations. Hazelcast has already redefined high-performance processing for data at rest. Now, we are bringing that same level of performance to data in-motion, enabling a new breed of ultra-high-performance applications based on streaming data that allows you to process information faster, enable actions within shorter durations, and engage new data at the speed with which it is arriving.
Hazelcast Jet is built on the foundation of Hazelcast IMDG, the industry’s fastest in-memory data grid.
Hazelcast Jet is an application embeddable, distributed computing platform for fast processing of big data sets. The Hazelcast Jet architecture is high performance and low-latency-driven, based on a parallel, streaming core engine that enables data-intensive applications to operate at near real-time speeds.
Architecture & Features
Built on a distributed computing platform, Hazelcast Jet offers a parallel, low-latency core engine for data-intensive applications to operate at real-time speeds, while cooperative multi-threading architecture enables operation of thousands of jobs simultaneously.
Hazelcast Jet operates as shared application infrastructure or embedded directly in applications. It is ideal for microservices with a lightweight footprint, making data manipulation easy for developers and DevOps. Cloud and container ready.
One solution provides stream, batch, and RPC processing, with a variety of connectors to enable easy integration into data processing pipelines. Scaling, failure handling and recovery are all automated for ease of operational management.
Embed Hazelcast IMDG as an operational storage for enterprise-grade reliability and resilience, with high-performance integration that eliminates network transit latency and integration issues between processing and storage.
Big data processing at millisecond speed
Highly available and fault tolerant
Distributed, in-memory computation
Supports common data sources (Kafka, HDFS, Sockets, JMS, JDBC etc.)
Enables easy creation of custom sources
Contains scalable data storage with the clients Java, .NET, C++, Python, Node.js and Go
Embeddable for isolated and fully self-contained data-centric services
Elasticity for fault-tolerance and automatic scaling
Supports network discovery
Supports in-memory messaging
Enables low-latency analytics and decision making
Saves bandwidth and enhances privacy by processing data locally
Fully embeddable for simple packaging
Turnkey solution for using trained models in a production environment
Low-latency model execution environment
Apply real-time analytics to high-volume event data to make faster and better decisions
Integrate multiple applications to support multiple business functions
Build continuous analytics processing for enhanced revenue generation, smart resource allocation, improved customer service and other metrics
Use Cases
Hazelcast Jet reads a stream of telemetry data from ADS-B on all commercial aircraft flying anywhere in the world, typically 5,000 to 6,000 aircraft at any point in time. This data is filtered and aggregated, and then certain features are enriched and displayed in Grafana.
Hazelcast Jet uploads a stream of stock market pricing data from a Kafka topic into an IMDG map. Data is analyzed as part of the upload process, calculating the moving averages to detect buy/sell indicators.
The world's most advanced stream processing framework.
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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.
The streaming benchmark is intended to measure the latency overhead for a streaming system under different conditions such as message rate and window size. It compares Hazelcast Jet, Apache Flink, and Apache Spark Streaming. Summary of Findings Jet is the only system with a latency below one second across all benchmarks. Spark’s max latency exceeds […]
Can’t attend the live webinar? Register anyway and we will send you the recording! Performant, elastically scalable and resilient, Hazelcast Jet has been used extensively in Financial services for a wide range of real-time use cases. In this webinar Hazelcast Jet product manager, Vladimir Schreiner will provide an overview of Hazelcast Jet, and how it is used at some of the world’s leading banks and credit card providers.
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.
