BigMemory is described as ': a commercial in-memory data management suite for real-time Big Data applications that stores up to hundreds of terabytes in distributed memory across multiple servers without performance hits from the Java garbage collector' and is a in-memory database in the development category. There are more than 25 alternatives to BigMemory for a variety of platforms, including Linux, Windows, Mac, Web-based and Self-Hosted apps. The best BigMemory alternative is MongoDB. Other great apps like BigMemory are Redis, CouchDB, DiceDB and Valkey.
A distributed in-memory key/value data store with optional schema. It can be used both as an embedded Java library and as a language-independent service accessed remotely over a variety of protocols (HotRod, REST, Memcached and WebSockets).
Pivotal GemFire® is a real-time distributed data store that solves the hard problems of distributed systems for you. It provides a familiar Java interface for interacting with data of arbitrary complexity and shape, and accommodates ever-growing data sets and users with...
SAP HANA is a completely re-imagined platform for real-time business.
It transforms business by streamlining transactions, analytics, planning, predictive, sentiment data processing on a single in-memory database so business can operate in real-time.
TimesTen is a memory-optimized, relational database management system with persistence and recoverability. Originally designed and implemented at Hewlett-Packard labs in Palo Alto, California, TimesTen was spun out into a separate startup in 1996 and acquired by Oracle...
XAP is an in-memory computing software platform that processes all your data & applications in real time.
ScaleOut Software's advanced in-memory data grid products help you meet a wide range of technical and business challenges. Whether you need a scalable storage solution for storing session-state or shopping carts on your ecommerce Web farm or you have to perform lightning...
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
United States
Germany
EU
Israel
