Apache Ignite Powers GridGain's In-Memory Computing Platform

Here at OStatic, we've often noted that whenever the Apache Software Foundation graduates an open source project to become a Top Level Project, it tends to bode well for the project. Just look at what's happened with Apache Spark, for example. 

Last year, Apache, which is the steward for and incubates more than 350 Open Source projects, announced that Apache Ignite had become a top-level project. Ignite is an open source effort to build an in-memory data fabric that was driven by GridGain Systems. Now,  GridGain Systems has announced that it is offering the Ignite-based GridGain Enterprise Edition in the Amazon Web Services (AWS) Marketplace.

According to the company, the offering is squarely aimed at enterprises:

"The GridGain In-Memory Data Fabric enables massive scale out of data-intensive applications and a 1,000x improvement in transaction times versus disk-based approaches without replacing the existing underlying databases. It provides high-speed transactions with ACID guarantees, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer. GridGain powers existing or new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware, which can be easily scaled by adding more nodes to the compute grid. The GridGain In-Memory Data Fabric requires minimal or no modifications to the application or database layers for architectures built on RDBMS, NoSQL or Apache Hadoop databases."

"Organizations around the world are already deploying Apache Ignite and the GridGain In-Memory Data Fabric on AWS. Offering the GridGain Enterprise Edition on the AWS Marketplace will make it even easier and faster to deploy and manage GridGain on AWS," said Abe Kleinfeld, President and CEO of GridGain. "GridGain can be deployed on premise or in the cloud. For many companies, deploying GridGain on AWS or Microsoft Azure delivers unprecedented flexibility, scalability and performance. Deploying GridGain on AWS or Azure makes it possible for organizations of every size in every industry to take advantage of in-memory computing to provide real-time insights into their Big Data, offer new services, optimize their customer experience, and much more."

Unlike other Big Data processing solutions, Apache Ignite is an in-memory computing (IMC) system, where RAM is treated as a primary storage facility (as opposed to being used exclusively for processing). As such, Ignite's memory-first approach is purportedly more efficient and faster: with improved system indexes, reduced data fetch time, and no delays in a stream content processing, among other benefits.

 From Ignite to Spark, we continue to see Apache-led projects giving rise to commercial offerings that reach enterprises. Expect more on this front.