GridGain Platform v8.9 Strengthens Data Integration and Data Hub Capabilities

GridGain, provider of a leading unified real-time data platform, is offering GridGain Platform v8.9, strengthening its data integration and data hub capabilities. This latest version helps enterprises make their increasingly disparate, diverse, and distributed data more accessible for real-time processing and analytics, all at ultra-low latencies, according to the company.

“GridGain has provided leading enterprises with the capabilities of a unified real-time data platform for years,” said Lalit Ahuja, chief product and customer officer at GridGain. “With each release of our platform, we strengthen our ability to exceed the high expectations of our enterprise customers in supporting the increasing complexity of modern data use cases such as traditional and generative AI, fraud detection, smart decisioning, operational analytics, and customer 360. With version 8.9, GridGain continues to raise the bar for durable, ultra-fast data processing and analytics at scale.”

GridGain Platform v8.9 includes several new or enhanced integrations, including deeper support for Apache Parquet, Apache Iceberg, CSV, and JSON.

These integrations enable enterprises to deliver highly performant real-time analysis across complex data workloads by making enterprise data in data lakes and semi-structured data in non-relational/NoSQL databases more easily accessible for processing.

The ability to handle these complex workloads in a single platform helps enterprises simplify and optimize their data architectures to drive the extreme speed, massive scale, and high availability they require, according to the company.

New in GridGain Platform v8.9

  • Expanded ecosystem: Includes deeper integrations for Apache Parquet, Apache Iceberg, CSV and JSON to easily support more complex datastores, including enterprise data lakes and NoSQL/semi-structured document databases.
  • Enhanced data management: Enables more storage- and read-efficient management of massive data tables, with support for high performance, ACID-compliant queries and diverse document data types, helping developers to build new and more complex applications faster.
  • Support for more data types: Takes its distributed, colocated, memory-centric computing capabilities to NoSQL and data lake technologies, enabling faster analytics.

According to the company, these new and enhanced integrations—together with GridGain’s ability to seamlessly combine streaming data in motion and historical data at rest with compute functionality—enable enterprises to handle complex analytical and transactional data workloads at unmatched speed and scale.

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