[jira] [Commented] (IGNITE-13935) Update Ignite docker image description

[Peter Ivanov (Jira)]

    [ 
https://issues.apache.org/jira/browse/IGNITE-13935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17265973#comment-17265973
 ] 

Peter Ivanov commented on IGNITE-13935:
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Old description in markdown:
{code}
# Apache Ignite In-Memory Computing Platform

<p align="center">
    <a href="https://ignite.apache.org";>
        <img 
src="https://raw.githubusercontent.com/apache/ignite-website/master/images/ignite_logo_full.svg";
 width="400px"/>
    </a>
</p>

## What is Apache Ignite?

Apache Ignite is a horizontally scalable, fault-tolerant distributed in-memory 
computing platform for building real-time applications that can process 
terabytes of data with in-memory speed.

<p align="center">
    <a href="https://ignite.apache.org";>
        <img 
src="https://raw.githubusercontent.com/apache/ignite-website/master/images/svg-diagrams/ignite_cluster.svg";
 width="400px"/>
    </a>
</p>

## 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 calculations. Those APIs implement the MapReduce 
paradigm and allow you to run arbitrary tasks across the cluster of nodes.
{code} 

> Update Ignite docker image description
> --------------------------------------
>
>                 Key: IGNITE-13935
>                 URL: https://issues.apache.org/jira/browse/IGNITE-13935
>             Project: Ignite
>          Issue Type: Improvement
>            Reporter: Denis A. Magda
>            Assignee: Peter Ivanov
>            Priority: Major
>
> Apache Ignite is redefined as "a distributed database for in-memory speed and 
> high-performance computing".
> Update the [docker image 
> description|https://hub.docker.com/r/apacheignite/ignite]:
>  # The title needs to say "Apache Ignite - Distributed Database"
>  # The description of the "What is Apache Ignite?" section needs to be 
> identical to a similar section of GitHub's README.md (definition + quick 
> links to docs): https://github.com/apache/ignite



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