GridGain Systems
| Developer(s) | GridGain Systems |
|---|---|
| Initial release | 2007 |
| Stable release | In-Memory Data Fabric v. 7.1 |
| Development status | Active |
| Written in | Java |
| Operating system | Cross-platform |
| Available in | English |
| Type | Java Platform |
| License | Commercial |
| Website | http://www.gridgain.com/ |
GridGain Systems,[1] is a privately held U.S.-based information technology company, established in 2007, with its headquarters located in Foster City, CA. It provides software and services that enable dramatic performance and scalability improvements of real-time big data systems by utilizing in-memory computing to increase data throughput and minimize latency.
Products and technology
In-Memory Computing, also known as In-Memory Processing, is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.
GridGain’s products are designed to deliver uncompromised performance and virtually unlimited scale for a wide set of in-memory computing use cases, reaching from ACID-compliant high-volume transactions to real-time analytics, as well as hybrid transactional-/analytical processing and IoT.
GridGain provides a comprehensive in-memory computing platform built on the open source Apache Ignite project that has been optimized for Java, .NET and C++ environments. The GridGain In-Memory Data Fabric acts as a data access and processing layer between the application and the data stores that utilizes memory (RAM) as the primary data repository for hot data as opposed to disk. By utilizing system memory rather than disk, this system is able to achieve significant performance improvements over traditional data processing systems.
Unlike legacy in-memory databases and data grids, the GridGain Data Fabric offers a well-integrated set of capabilities, including:
- Data Grid
- Compute Grid
- Service Grid
- Streaming
- Clustering
- Distributed Messaging
- Distributed Events
- Distributed Structures
- Distributed File System
- Hadoop Acceleration
Apache Ignite
In 2014 GridGain Systems donated their core codebase to the Apache Software Foundation as the open source Apache Ignite project. The first release of Apache Ignite happened in early 2015 and graduated from incubation in September 2015.
Awards and Recognition
- GridGain was chosen by AlwaysOn as a Global 250 Top Private Company winner in 2015 [2] in 2015.
- GridGain was chosen by AlwaysOn as an OnCloud Top 100 private companies winner in 2015 [3] in 2015.
- GridGain was chosen by AlwaysOn as a Global 250 Top Private Company winner in 2014 [4] in 2014.
- GridGain was recognized by Gartner as a Cool Vendor in In-Memory Computing Technologies, 2014 [5] in 2014.
See also
- Comparison of structured storage software
- Computer cluster
- Complex event processing
- DevOps
- Distributed computing
- Distributed hash table
- Distributed transaction processing
- Extreme Transaction Processing
- Grid computing
- Memcached
- Memory virtualization
- NoSQL
- Scalability
- Transaction processing
References
- ↑ "CrunchBase Profile".
- ↑ "Announcing the 2015 AlwaysOn Global 250 Top Private Companies". AlwaysOn. 2015-08-11.
- ↑ "Announcing the 2015 OnCloud Top 100 private companies". AlwaysOn. 2015-02-25.
- ↑ "Announcing the 2014 AlwaysOn Global 250 Top Private Companies". AlwaysOn. 2014-07-26.
- ↑ "Cool Vendors in In-Memory Computing Technologies, 2014". Gartner. 2014-04-30.
External References
- Gutierrez, Daniel (2015-03-25). "Benefits to SaaS Companies When Adopting an In-Memory Data Fabric". Inside BIGDATA.
- Webster, John (2015-01-29). "In-Memory Computing and the Emergence of Tier -1 Storage". Forbes.
- Kleinfeld, Abe (2015-01-15). "The Era of Big Data won’t Materialize without Fast Data". Information Age.
- Leopold, George (2016-02-18). "Russian Bank Funds In-Memory Vendor GridGain". Datanami.
- Mellor, Chris (2016-02-15). "Thanks for the Extra Memories, Folks: Say Hi to GridGain". The Register.
- Team, Editorial (2016-02-14). "GridGain Enterprise Edition 7.5 Increases Speed and Scalability of the In-Memory Data Fabric". Inside BIGDATA.
- Dern, Daniel (2015-04-09). "GridGain In-Memory Data Fabric Becomes Apache Ignite". Linux.com.