Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. 
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Apache Ignite has advanced compute and clustering capabilities including Dynamic Sub-Clusters, Clustered Lambda Execution, Clustered ForkJoin Tasks.


Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. 


Apache Ignite - High performance in-memory data grid

MapDB is an embedded database engine. It provides Maps and other collections backed by disk or memory storage. It offers excellent performance comparable to java collections, but is not limited by GC overhead. It is also a full database engine with storage backends, transactions, cache algorithms, expiration and many other options. MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory. 

MapDB - Embedded Database Engine

Apache Geode  is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol. 

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Apache Ignite - High performance in-memory data grid

MapDB - Embedded Database Engine

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Projects

Apache Ignite - High performance in-memory data grid

MapDB - Embedded Database Engine

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

TechStack

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