GridGain Features

Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop

As reported in 10 GridGain reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Facilitates solution to run on and scale to a large number of machines and systems

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop 10 reviewers of GridGain have provided feedback on this feature.

Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 10 reviewers of GridGain have provided feedback on this feature.

The ability to process large amounts of data.

The ability to process data from a wide variety of sources and formats.

The ability to work seamlessly with another software platform.

Processing data from a variety of sources in real time as it arrives.

Tools to visualize and analyze data.

Track data and system backups, replication, and failover events.

Integrate with other management, resilience, or backup solutions

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitor replication environment via GUI

Provide as-before failover capabilities for cloud environments.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Offer disaster recovery capabilities as a third-party provider.