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new 63815eb IGNITE-14942 Fixes README description. (#65)
63815eb is described below
commit 63815eb70b508dff955dcf224d9dd42b785b800e
Author: Mikhail Petrov <[email protected]>
AuthorDate: Fri Jun 25 08:57:41 2021 +0300
IGNITE-14942 Fixes README description. (#65)
---
README.md | 48 ++++++------------------------------------------
1 file changed, 6 insertions(+), 42 deletions(-)
diff --git a/README.md b/README.md
index 226a0e0..888b30f 100644
--- a/README.md
+++ b/README.md
@@ -2,53 +2,17 @@
<a href="https://ignite.apache.org/";><img
src="https://github.com/apache/ignite-website/blob/master/images/ignite_logo_full.svg";
hspace="20"/></a>
-[](https://travis-ci.org/apache/ignite)
[](https://www.apache.org/licenses/LICENSE-2.0.html)
-[](https://search.maven.org/search?q=org.apache.ignite)
-[](https://ignite.apache.org/download.cgi)
-
+[](https://ignite.apache.org/download.cgi#extensions)
[](https://twitter.com/ApacheIgnite)
-## What is Apache Ignite?
+## What Are Apache Ignite Extensions?
-Apache Ignite is a distributed database for high-performance computing with
in-memory speed.
+Apache Ignite Extensions is a group of integrations between [Apache
Ignite](https://ignite.apache.org) and various Java frameworks.
+To see the comprehensive list of Apache Ignite Extensions and related
documentation, visit the *"Extensions and Integrations"* section of an [Apache
Ignite Documentation](https://ignite.apache.org/docs/latest/).
-<p align="center">
- <a href="https://ignite.apache.org";>
- <img
src="https://github.com/apache/ignite-website/blob/master/images/png-diagrams/ignite_cluster.png";
width="400px"/>
- </a>
-</p>
+## Apache Ignite Extensions Publication And Versioning.
-* [Technical Documentation](https://ignite.apache.org/docs/latest/)
-* [JavaDoc](https://ignite.apache.org/releases/latest/javadoc/)
-* [C#/.NET APIs](https://ignite.apache.org/releases/latest/dotnetdoc/api/)
-* [C++ APIs](https://ignite.apache.org/releases/latest/cppdoc/)
-* [Scala
APIs](https://ignite.apache.org/releases/latest/scaladoc/scalar/index.html)
+Each Apache Ignite extension is published as a separate Maven artifact and has
an independent release lifecycle. Visit the *"Extensions and Integrations"*
section of an [Apache Ignite
Documentation](https://ignite.apache.org/docs/latest/) to see Maven Artifact ID
and available versions for each extension, as well as the corresponding Apache
Ignite and extension target compatible versions.
-## 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.
-
-[Read More](https://ignite.apache.org/arch/multi-tier-storage.html)
-
-## 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.
-
-[Read More](https://ignite.apache.org/arch/persistence.html)
-
-## 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.
-
-[Read More](https://ignite.apache.org/features/transactions.html)
-
-## 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.
-
-[Read More](https://ignite.apache.org/features/sql.html)
-
-## Machine Learning and High-Performance Computing
-[Apache Ignite Machine
Learning](https://ignite.apache.org/features/machinelearning.html) is a set of
simple, scalable, and efficient tools that allow building predictive machine
learning models without costly data transfers. The rationale for adding machine
and deep learning to Apache Ignite is quite simple. Today's data scientists
have to deal with two major factors that keep ML from mainstream adoption.
-
-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](https://ignite.apache.org/use-cases/hpc.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 calc [...]
![https://github.com/apache/ignite-website/blob/master/images/ignite_logo_full.svg"](https://github.com/apache/ignite-website/blob/master/images/ignite_logo_full.svg"){kind=link}
![https://github.com/apache/ignite-website/blob/master/images/png-diagrams/ignite_cluster.png"](https://github.com/apache/ignite-website/blob/master/images/png-diagrams/ignite_cluster.png"){kind=link}