Merge branch 'master' of https://git-wip-us.apache.org/repos/asf/incubator-ignite into gg-9470-rename-1
Project: http://git-wip-us.apache.org/repos/asf/incubator-ignite/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-ignite/commit/09169c7f Tree: http://git-wip-us.apache.org/repos/asf/incubator-ignite/tree/09169c7f Diff: http://git-wip-us.apache.org/repos/asf/incubator-ignite/diff/09169c7f Branch: refs/heads/master Commit: 09169c7f9b03e17d255adf6ff50a534a0f4eb803 Parents: e816134 Author: sboikov <sboi...@gridgain.com> Authored: Fri Dec 5 01:10:09 2014 +0300 Committer: sboikov <sboi...@gridgain.com> Committed: Fri Dec 5 01:10:09 2014 +0300 ---------------------------------------------------------------------- readme.md | 63 ++-------------------------------------------------------- 1 file changed, 2 insertions(+), 61 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/09169c7f/readme.md ---------------------------------------------------------------------- diff --git a/readme.md b/readme.md index abb760d..2cc2f0d 100644 --- a/readme.md +++ b/readme.md @@ -1,61 +1,2 @@ -<center> - -</center> - -<div style="height: 5px"></div> - -## GridGain In-Memory Data Fabric -<blockquote>In-Memory Computing uses high-performance, integrated, distributed memory systems to compute and transact on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. -</blockquote> - -GridGainâs In-Memory Data Fabric is designed to deliver uncompromised performance for a widest set of in-memory computing use cases from high performance computing, to the industry most advanced data grid, to streaming and plug-n-play Hadoop accelerator: - -### In-Memory Data Grid -Natively distributed, ACID transactional, MVCC-based, SQL+NoSQL, in-memory object key-value store. The only in-memory data grid proven to scale to billions of transactions per second on commodity hardware. - -### In-Memory Streaming -Massively distributed processing meets Complex Event Processing (CEP) and Streaming Processing with advanced workflow support, windowing, user-defined indexes and more. - -### In-Memory Accelerator for Hadoop -Combination of In-Memory File System 100% compatible with Hadoop HDFS and In-Memory MapReduce delivering 100x performance increase. Minimal integration, plug-n-play acceleration with any Hadoop distro. - -## Maven Install -The easiest way to get started with GridGain in your project is to use Maven dependency management: - -### Fabric Edition -`Fabric` edition includes all GridGain functionality except for `hadoop accelerator`. - -```xml -<dependency> - <groupId>org.gridgain</groupId> - <artifactId>gridgain-fabric</artifactId> - <version>${gridgain.version}</version> - <type>pom</type> -</dependency> -``` - -### Legacy Editions -Following editions are supported for legacy downloads and projects started before `Fabric` edition has been introduced. It is strongly recommended to use `Fabric` edition. - -#### HPC Edition -`HPC` edition includes all GridGain functionality except for `data grid`, `streaming` and `hadoop accelerator`. - -#### Data Grid Edition -`Data Grid` edition includes all GridGain functionality except for `streaming` and `hadoop accelerator`. - -#### Streaming Edition -`Streaming` edition includes all GridGain functionality except for `data grid` and `hadoop accelerator`. - -You can copy and paste this snippet into your Maven POM file. Make sure to replace version with the one you need. - -## Binary Downloads & Documentation -Grab the latest binary release and current documentation at [www.gridgain.com](http://www.gridgain.com) - -## Issues -Use GitHub [issues](https://github.com/gridgain/gridgain/issues) to file bugs. - -## License -GridGain is available under [Apache 2.0](http://www.apache.org/licenses/LICENSE-2.0.html) license. - -## Copyright -Copyright (C) 2007-2014, GridGain Systems, Inc. All Rights Reserved. +ignite-test +===========
