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January 11, 2019

GridGain Expands Data Persistence for In-Memory DB

George Leopold

(Semisatch/Shutterstock)

In-memory database specialist GridGain is augmenting its data storage capabilities with the addition of an automatic data persistence feature that can be used for immediate data access in the event of a cluster restart.

GridGain, the in-memory database vendor whose platform runs on Apache Ignite, said this week its disk-based persistence scheme ensures quick data access when a cluster is rebooted.

The database vendor is also offering free testing of Apache Ignite as an in-memory database. GridGain said users can launch a free four-node trial run to launch and host an in-memory database on the GridGain cloud using a standard SQL database query language or other protocols to communicate with a cluster.

GridGain, Foster City, Calif., claims to be the first in-memory database vendor to offer an ACID-compliant, key-value database that supports the ANSI-99 SQL standard.

GridGain is among a growing number of in-memory database vendors emphasizing data persistence, high availability and, now, immediate cluster restarts. GridGain pitches its cloud-based, in-memory database service as disseminating data across distributed clusters of servers. New nodes can be added to clusters on the fly.

“Data held in memory is continually backed up to disk and is available in seconds in the event of a [cluster] restart,” the company said.

GridGain previously added a “cluster snapshot” capability as it positioned Apache Ignite as an in-memory data grid that can run either with existing relational, NoSQL and Hadoop databases or operate as a standalone transactional SQL database augmented with persistent storage features.

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