Software
We've compiled a list of 73 free and paid alternatives to GridGain In-Memory Data Fabric. The primary competitors include MongoDB, Redis. In addition to these, users also draw comparisons between GridGain In-Memory Data Fabric and Windward Studios, CouchDB, Valentina Reports. Also you can look at other similar options here: About.
We've compiled a list of 73 free and paid alternatives to GridGain In-Memory Data Fabric. The primary competitors include MongoDB, Redis. In addition to these, users also draw comparisons between GridGain In-Memory Data Fabric and Windward Studios, CouchDB, Valentina Reports. Also you can look at other similar options here: About.
Redis (REmote DIctionary Server) is an open-source, networked, in-memory, key-value data store with...
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CloudWork, previously Tarpipe, is a free integration service that allows anyone to build...
Free & open source, high-performance, distributed memory object caching system, generic in...
Couchbase is the NoSQL database market share leader, with production deployments at AOL, Deutsche...
The GridGain In-Memory Data Fabric is a proven software solution, which enables high-performance...
The GridGain In-Memory Data Fabric is a proven software solution, which enables high-performance...
Linux
Windows
The GridGain In-Memory Data Fabric is a proven software solution, which enables high-performance transactions, real-time streaming and fast analytics in a single, comprehensive data access and processing layer. The In-Memory Data Fabric is designed to easily power both existing and new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware.
The GridGain In-Memory Data Fabric provides a unified API that spans all key types of applications (Java, .NET, C++) and connects them with multiple data stores containing structured, semi-structured and unstructured data (SQL, NoSQL, Hadoop).
The In-Memory Data Fabric offers a strategic approach to in-memory computing that delivers performance, scale and comprehensive capabilities far above and beyond what traditional in-memory databases, data grids or other in-memory-based point solutions can offer by themselves.
Database
Clustering
Real-time analytics
Low Latency
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