![]() ![]() Data does not have to be moved to compute and analytics as this reduces overhead tremendously due to data locality. Second, is performance - Unifying compute and data, when coupled with a distributed architecture, data-aware-compute, and an in-memory-optimized architecture, is very powerful. This simplicity also means simplified scaling of data and compute, and simplified resilience. And all these, combined, lead to simplified DevOps processes and greater agility. That also translates into operational simplicity. This means deploying, scaling, and managing is simplified. That continues through to architectural simplicity - a unified runtime is very powerful when deploying distributed applications. John DesJardins: Unifying these products is very powerful, in several ways.įirst, is simplicity - This simplicity starts with developers, who can now leverage the full power of these capabilities by simply adding one library to their project and having a simplified developer experience. InfoQ: What are the motivations and the advantages of joining Hazelcast IMDG and Hazelcast Jet in recent version 5.0? John DesJardins, chief technology officer at Hazelcast, spoke to InfoQ about this new platform. ![]() Their documentation states that their unique data processing architecture results in 99.99% latency of under 10ms for streaming queries with millions of events per second. The use cases proposed by Hazelcast can vary between caching, fraud detection, real-time streaming analytics or used in a microservice architecture for fast data lookups. The streaming capabilities provided with the merging of Hazelcast Jet in Hazelcast Platform 5.0, enable stateful and fault-tolerant data processing and querying over data streams and data at rest using SQL or dataflow API.Īdditionally, Hazelcast Platform provides a comprehensive library of connectors such as Kafka, Hadoop, S3, RDBMS, JMS and many more, distributed messages via queues or pub/sub topics and a cloud-native architecture. ![]() The platform also adds sorting, aggregations and new SQL expressions. The SQL engine in the Hazelcast Platform now supports basic data manipulation language (DML) functionality to enable INSERT, UPDATE and DELETE on data in Hazelcast. The new version 5.0 also introduces new features like expanded SQL support, streaming capabilities (provided by Jet module), a redesigned UI console and a new serialization format (as a preview feature). This new platform unifies the existing products Hazelcast IMDG and Hazelcast Jet, the former having provided fast ways to store, retrieve and modify data while the latter provided fast processing of data. Hazelcast, the distributed computation and storage platform, has announced the release of the Hazelcast Platform version 5.0. ![]()
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