Apache Ignite Memory Data organization is a high-performance, integrated, and distributed memory platform that performs transactions and calculations in real-time in large data sets, with an order of magnitude improvement over traditional disk-or flash-based technologies.
Storing data in the cache can significantly increase the speed of your application, because caching can reduce the frequency of data being transmitted in your application and database. Apache ignite allows users to store common hot data in memory, which supports both sharding and replication, allowing developers to distribute data evenly across the cluster's hosts. At the same time, ignite supports any underlying storage platform, whether RDBMS, NoSQL, or HDFs.
After the cluster is configured, the dataset increases simply by adding nodes to the Ignite cluster without restarting the entire cluster. The number of nodes can be infinitely increased, so the ignite extensibility is infinite.
Features at a glance
Ignite can be seen as a separate, easy-to-integrate collection of memory components to improve application performance and scalability, and some components include:
- Advanced Clustering
- Data Grid (Jcache)
- Stream computing and CEP
- Calculation grid
- Service grid
- Ignite File System
- Distributed data structures
- Distributed messaging
- Distributed events
- Hadoop accelerator
- Spark shared Rdd
Distributed Database Cache system Apache Ignite