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Operating Streaming Applications in the Cloud

Webinar
| Video
| 60 minutes

In this webinar, we will present the tools that Hazelcast Jet brings to the table when it comes to operating long-running streaming applications in the cloud.

Hazelcast Cloud Product Brochure

Brochure
| PDF
| 3 pages

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 Jet for Hazelcast IMDG Users

Webinar
| Video
| 60 minutes

Hazelcast Jet® is a 3rd generation stream processing engine that adds advanced data processing capabilities to Hazelcast IMDG®. Jet makes it simple to build distributed, fault-tolerant data processing pipelines on top of Hazelcast IMDG and provides 500% performance increase over similar processing done with Apache Spark. Just like Hazelcast®, it can be embedded into your application or run as standalone.

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SigmaStream and Hazelcast Helps the Energy Industries Save Millions

Case Study
| PDF
| 4 pages

Stream processing is the new critical application for today’s always on, always available digital ecosystem. While stream processing can cover a wide range of applications (healthcare, IoT, payment processing, etc.), Hazelcast’s stream processing engine – Jet – has had an interesting and unusual deployment in the oil and gas drilling domain, with spectacular results. SigmaStream, […]

Auto Database Integration

Case Study
| PDF
| 2 pages

This use case outlines how a logistics company has cut maintenance costs and drastically reduced the overhead of setting up new applications. Hence, time to market is shortened by streamlining the process of keeping the data model of the in-memory data grid in sync with the data sources.

Operating Streaming Applications in the Cloud

Webinar
| Video
| 60 minutes

In this webinar, we will present the tools that Hazelcast Jet brings to the table when it comes to operating long-running streaming applications in the cloud.

A Reference Guide to Stream Processing

Guide
| PDF
| 13 pages

The goal of streaming systems is to process big data volumes and provide useful insights into the data prior to saving it to long-term storage. The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the processing starts. In the case of failures the whole job can be simply restarted. While quite simple and robust, the batching approach clearly introduces a large latency between gathering the data and being ready to act upon it. The goal of stream processing is to overcome this latency. It processes the live, raw data immediately as it arrives and meets the challenges of incremental processing, scalability and fault tolerance.

Hazelcast IMDG for Apache Ignite/GridGain Users

Whitepaper
| PDF
| 4 pages

This white paper provides a point by point comparison of Hazelcast IMDG and Apache Ignite/GridGain across a number of dimensions.

Redis Open Source 5.0.3 vs Hazelcast IMDG Enterprise 3.12

Benchmark
| PDF

Background The purpose of this benchmark is to reproduce the low thread count benchmark conducted by Redis Labs in 2018, correcting for deficiencies in their benchmark. The things we changed were: We used Java clients for both. The original benchmark used C++ with Redis. We added Redis with the Lettuce client to RadarGun We used the same […]

Cloud Migration and the Role of In-Memory Technologies

Whitepaper
| PDF
| 9 pages

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.

Rocking the Cloud with Hazelcast Cloud, Our New Managed Service

Webinar
| Video
| 60 minutes

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!

Hazelcast Cloud Product Brochure

Brochure
| PDF
| 3 pages

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.