Apache Ignite

Clone this repo:
  1. b6bd4b8 IGNITE-22756 Fix dns_failure ducktest to work with jdk 17 (#11440) by Sergey Korotkov · 22 hours ago master
  2. ad1bbcf IGNITE-22605 Add check for SSL errors on TcpDiscovery writing failures (#11415) by Maksim Timonin · 2 days ago
  3. fb4e5ba IGNITE-22749 Mention ignite-json as dependency in the REST API module README.txt (#11439) by Sergey Korotkov · 2 days ago
  4. 68d6e4e IGNITE-22734 Updated Jetty dependency to 9.4.55 version (#11436) by Aleksandr Nikolaev · 2 days ago
  5. 7ecb69d IGNITE-22731 Updated zookeeper dependency to 3.8.4 version (#11435) by Aleksandr Nikolaev · 2 days ago

Apache Ignite

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What is Apache Ignite?

Apache Ignite is a distributed database for high-performance computing with in-memory speed.

Multi-Tier Storage

Apache Ignite is designed to work with memory, disk, and Intel Optane as active storage tiers. The memory tier allows using DRAM and Intel® Optane™ operating in the Memory Mode for data storage and processing needs. The disk tier is optional with the support of two options -- you can persist data in an external database or keep it in the Ignite native persistence. SSD, Flash, HDD, or Intel Optane operating in the AppDirect Mode can be used as a storage device.

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Ignite Native Persistence

Even though Apache Ignite is broadly used as a caching layer on top of external databases, it comes with its native persistence - a distributed, ACID, and SQL-compliant disk-based store. The native persistence integrates into the Ignite multi-tier storage as a disk tier that can be turned on to let Ignite store more data on disk than it can cache in memory and to enable fast cluster restarts.

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ACID Compliance

Data stored in Ignite is ACID-compliant both in memory and on disk, making Ignite a strongly consistent system. Ignite transactions work across the network and can span multiple servers.

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ANSI SQL Support

Apache Ignite comes with a ANSI-99 compliant, horizontally scalable, and fault-tolerant SQL engine that allows you to interact with Ignite as with a regular SQL database using JDBC, ODBC drivers, or native SQL APIs available for Java, C#, C++, Python, and other programming languages. Ignite supports all DML commands, including SELECT, UPDATE, INSERT, and DELETE queries as well as a subset of DDL commands relevant for distributed systems.

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High-Performance Computing

High-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. Using Apache Ignite as a high-performance compute cluster, you can turn a group of commodity machines or a cloud environment into a distributed supercomputer of interconnected Ignite nodes. Ignite enables speed and scale by processing records in memory and reducing network utilization with APIs for data and compute-intensive calculations. Those APIs implement the MapReduce paradigm and allow you to run arbitrary tasks across the cluster of nodes.