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What is GridGain?

This powerful enterprise framework, designed on Apache Ignite, offers exceptional in-memory speed and impressive scalability tailored for applications that handle large volumes of data, providing real-time access across a range of datastores and applications. The transition from Ignite to GridGain is seamless, requiring no alterations to your code, which facilitates the secure deployment of clusters globally without any downtime. Furthermore, you can perform rolling upgrades on production clusters without compromising application availability, while also enabling data replication across diverse geographical data centers to effectively distribute workloads and reduce potential outages in particular areas. Your data is safeguarded both during storage and transmission, with stringent adherence to security and privacy standards ensured. Integration with your organization’s current authentication and authorization systems is simple, and you can activate comprehensive auditing for data usage and user actions. Moreover, automated schedules can be set up for both full and incremental backups, making it possible to restore your cluster to its optimal state using snapshots and point-in-time recovery. Beyond simply fostering efficiency, this platform significantly boosts resilience and security in all aspects of data management, ultimately leading to better operational stability. This comprehensive approach ensures that your organization can confidently manage its data while maintaining a competitive edge.

What is Apache HBase?

When you need immediate and random read/write capabilities for large datasets, Apache HBaseâ„¢ is a solid option to consider. This project specializes in handling enormous tables that can consist of billions of rows and millions of columns across clusters made of standard hardware. It includes automatic failover functionalities among RegionServers to guarantee continuous operation without interruptions. In addition, it features a straightforward Java API for client interaction, simplifying the process for developers. There is also a Thrift gateway and a RESTful Web service available, which supports a variety of data encoding formats, such as XML, Protobuf, and binary. Moreover, it allows for the export of metrics through the Hadoop metrics subsystem, which can integrate with files or Ganglia, or even utilize JMX for improved monitoring. This adaptability positions it as a robust solution for organizations with significant data management requirements, making it a preferred choice for those looking to optimize their data handling processes.

Media

Media

Integrations Supported

Amazon EMR
Apache Bigtop
Apache Zeppelin
Azure HDInsight
CodeKeep
Data Sentinel
FF4J
Hue
IBM InfoSphere Information Server
JanusGraph
Mage Dynamic Data Masking
Mage Static Data Masking
Minitab Statistical Software
RazorSQL
Salesforce Data 360
Sematext Cloud
Shapelets
Toad Intelligence Central
Yandex Data Proc

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free, Open Source Software

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

GridGain Systems

Date Founded

2007

Company Location

United States

Company Website

www.gridgain.com/products/in-memory-computing-platform

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hbase.apache.org

Categories and Features

Caching

Not specified

Database

Not specified

Distributed Databases

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

Categories and Features

Columnar Databases

Not specified

Distributed Databases

Not specified

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching

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