We've compiled a list of 68 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 Sisense, Windward Studios, CouchDB. Also you can look at other similar options here: About.
We've compiled a list of 68 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 Sisense, Windward Studios, CouchDB. Also you can look at other similar options here: About.
Business intelligence platform that provides data analytics and visualization solutions. It enables to analyze complex data sets and create interactive dashboards for better insights into their business performance. It also offers a range of feature…
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...
GridGain In-Memory Data Fabric Platforms
Windows
Linux
GridGain In-Memory Data Fabric Video and Screenshots
GridGain In-Memory Data Fabric Overview
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.