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We've compiled a list of 14 free and paid alternatives to XAP. The primary competitors include CockroachDB, Redis. In addition to these, users also draw comparisons between XAP and CouchBase, memcached, NCache. Also you can look at other similar options here: IT Infrastructure Software, Data Catalog Software.
We've compiled a list of 14 free and paid alternatives to XAP. The primary competitors include CockroachDB, Redis. In addition to these, users also draw comparisons between XAP and CouchBase, memcached, NCache. Also you can look at other similar options here: IT Infrastructure Software, Data Catalog Software.
Redis (REmote DIctionary Server) is an open-source, networked, in-memory, key-value data store with...
Couchbase is a NoSQL cloud database platform that combines JSON document storage with SQL queries and ACID transactions. It delivers high-performance, scalable data management for AI-powered applications with flexible schema and distributed architec…
Hazelcast is an in-memory data grid platform that speeds up data processing and caching. It enables real-time data management, scalability, and distributed computing to improve app performance and reliability across cloud and on-premises environment…
Linux
Mac
Windows
XAP is an in-memory computing software platform that processes all your data & applications in real time.
XAP works by enabling an entire application to run on a single platform with all tiers collapsed into one container, while storing all your data in memory, and scaling your applications automatically and on demands.
It allows for extreme data management using in memory data caching while ensuring immediate consistency, fully supporting transactions and rich query semantics & data indexing. XAP is also optimized for Big Data by efficiently combining real-time processing of massive data strams with batch processing of large data volumes using built-in integrations (ex. Hadoop or Cassandra). One of XAP's strongest features is scalable replication across data centers. This allows for near real-time replication of massive data streams, which is essential for disaster recovery, cloud bursting and multi-site scenarios.
Real-time
In-memory database
Real-time analytics
Low Latency
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