GridGain In-Memory Data Fabric
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.
Cost / License
- Pay once
- Proprietary
Platforms
- Windows
- Linux
Features
- Streaming
- Clustering
- Real-time analytics
- Low Latency
Tags
- in-memory
- data-grid
- compute-grid
- hadoop
- olap
- oltp
- analytics
- Database
- big-data
- fast-data
- hyperscale
- data-virtualization
- mpp
- byte-addressable-storage
- Productivity Tool
GridGain In-Memory Data Fabric News & Activities
Recent activities
K0RR added GridGain In-Memory Data Fabric as alternative to dragonfly
POX added GridGain In-Memory Data Fabric as alternative to Pogocache
ryno9341 added GridGain In-Memory Data Fabric as alternative to LiteDB
POX added GridGain In-Memory Data Fabric as alternative to DiceDB
GridGain In-Memory Data Fabric information
Developed by
GridGain Systems, Inc Licensing
Proprietary and Commercial product.Pricing
One time purchase (perpetual license) that costs $0.Alternatives
80 alternatives listedSupported Languages
- English
What is GridGain In-Memory Data Fabric?
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.