Source: thenewstack.io
Hazelcast Boosts Stream Processing with In-Memory ComputingCategory: Software, Database, Data, artificial-intelligence
Hazelcast Platform 5.0 brings a real-time stream processing engine together with in-memory computing to provide a simplified architecture that is highly performant, scalable and reliable, said Kelly Herrell, CEO of Hazelcast.
Anticipating an explosion of real-time data across enterprises, Hazelcast saw fit to put its stream processing engine, known as Jet, together with the company’s in-memory data grid, Herrell said.
Although Jet is now baked in as part of the overall Hazelcast Platform, the Jet name will live on in the code to refer to the stream processing engine, as well as serve as an API call, said John DesJardins, CTO of Hazelcast.
Moreover, DesJardins said Hazelcast is committed to supporting a range of different developer experiences and languages — from the rules and languages for data engineers to analytics experts to microservices developers.
Meanwhile, 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 company said.
Anticipating an explosion of real-time data across enterprises, Hazelcast saw fit to put its stream processing engine, known as Jet, together with the company’s in-memory data grid, Herrell said.
Although Jet is now baked in as part of the overall Hazelcast Platform, the Jet name will live on in the code to refer to the stream processing engine, as well as serve as an API call, said John DesJardins, CTO of Hazelcast.
Moreover, DesJardins said Hazelcast is committed to supporting a range of different developer experiences and languages — from the rules and languages for data engineers to analytics experts to microservices developers.
Meanwhile, 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 company said.
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