[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10446":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":21,"hasPages":21,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":38,"readmeContent":39,"aiSummary":40,"trendingCount":16,"starSnapshotCount":16,"syncStatus":41,"lastSyncTime":42,"discoverSource":43},10446,"ignite","apache\u002Fignite","apache","Apache Ignite","https:\u002F\u002Fignite.apache.org\u002F",null,"Java",5065,1939,267,115,0,1,6,40.86,"Apache License 2.0",false,"master",[24,25,26,27,28,29,30,5,31,32,33,34,35,36,37],"big-data","cache","cloud","data-management-platform","database","distributed-sql-database","hadoop","in-memory-computing","in-memory-database","iot","network-client","network-server","osgi","sql","2026-06-12 02:02:21","# Apache Ignite\n\n\u003Ca href=\"https:\u002F\u002Fignite.apache.org\u002F\">\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fapache\u002Fignite-website\u002Fblob\u002Fmaster\u002Fassets\u002Fimages\u002Fapache_ignite_logo.svg\" hspace=\"20\"\u002F>\u003C\u002Fa>\n\n[![Build Status](https:\u002F\u002Ftravis-ci.org\u002Fapache\u002Fignite.svg?branch=master)](https:\u002F\u002Ftravis-ci.org\u002Fapache\u002Fignite)\n[![GitHub](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002Fapache\u002Fignite?color=blue)](https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0.html)\n[![Maven Central](https:\u002F\u002Fmaven-badges.herokuapp.com\u002Fmaven-central\u002Forg.apache.ignite\u002Fignite-core\u002Fbadge.svg)](https:\u002F\u002Fsearch.maven.org\u002Fsearch?q=org.apache.ignite)\n[![GitHub release](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Frelease-download-brightgreen.svg)](https:\u002F\u002Fignite.apache.org\u002Fdownload.cgi)\n![GitHub commit activity](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcommit-activity\u002Fm\u002Fapache\u002Fignite)\n[![Twitter Follow](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002FApacheIgnite?style=social)](https:\u002F\u002Ftwitter.com\u002FApacheIgnite)\n\n## Ignite 2.x and 3.x\n\n* This repository is Ignite 2\n* See [apache\u002Fignite-3](https:\u002F\u002Fgithub.com\u002Fapache\u002Fignite-3) for Ignite 3\n* Both versions are actively developed\n\n## What is Apache Ignite?\n\nApache Ignite is a distributed database for high-performance computing with in-memory speed.\n\n\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fignite.apache.org\">\n        \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fapache\u002Fignite-website\u002Fblob\u002Fmaster\u002Fdocs\u002Fignite2\u002F2.9.0\u002Fimages\u002Fignite_clustering.png\" width=\"400px\"\u002F>\n    \u003C\u002Fa>\n\u003C\u002Fp>\n\n* [Technical Documentation](https:\u002F\u002Fignite.apache.org\u002Fdocs\u002Flatest\u002F)\n* [JavaDoc](https:\u002F\u002Fignite.apache.org\u002Freleases\u002Flatest\u002Fjavadoc\u002F)\n* [C#\u002F.NET APIs](https:\u002F\u002Fignite.apache.org\u002Freleases\u002Flatest\u002Fdotnetdoc\u002Fapi\u002F)\n* [C++ APIs](https:\u002F\u002Fignite.apache.org\u002Freleases\u002Flatest\u002Fcppdoc\u002F)\n\n## Multi-Tier Storage\n\nApache 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.\n\n[Read More](https:\u002F\u002Fignite.apache.org\u002Farch\u002Fmulti-tier-storage.html)\n\n## Ignite Native Persistence\n\nEven 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.\n\n[Read More](https:\u002F\u002Fignite.apache.org\u002Farch\u002Fpersistence.html)\n\n## ACID Compliance\nData 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.\n\n[Read More](https:\u002F\u002Fignite.apache.org\u002Ffeatures\u002Ftransactions.html)\n\n## ANSI SQL Support\nApache 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.\n\n[Read More](https:\u002F\u002Fignite.apache.org\u002Ffeatures\u002Fsql.html)\n\n## High-Performance Computing\nHigh-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](https:\u002F\u002Fignite.apache.org\u002Fuse-cases\u002Fhpc.html), 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.\n\n","Apache Ignite 是一个用于高性能计算的分布式数据库，具有内存级的速度。其核心功能包括多层存储支持（内存、磁盘和Intel Optane）、原生持久化存储以及ACID事务一致性，确保数据处理既高效又可靠。技术上，Ignite 使用Java开发，支持SQL查询、缓存机制，并能与Hadoop等大数据平台集成。它适用于需要实时数据分析、大规模数据处理及高速交易的应用场景，如物联网(IoT)、云计算服务、企业级应用等。",2,"2026-06-11 03:28:25","top_topic"]