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new 2614e68 Updated broken README file
2614e68 is described below
commit 2614e688a432e393cb9f8b2c5d2470dc2917baf2
Author: Denis Magda <dma...@gridgain.com>
AuthorDate: Wed May 19 14:49:08 2021 -0400
Updated broken README file
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README.md | 89 ++++++++++++++++++++-------------------------------------------
1 file changed, 28 insertions(+), 61 deletions(-)
diff --git a/README.md b/README.md
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+++ b/README.md
@@ -1,87 +1,54 @@
-# Apache Ignite
+# Apache Ignite Extensions
-<a href="https://ignite.apache.org/";><img
src="https://ignite.apache.org/images/logo3.png"; hspace="20"/></a>
-
-<a
href="https://ci.ignite.apache.org/viewType.html?buildTypeId=IgniteTests24Java8_RunAll&branch_IgniteTests24Java8=%3Cdefault%3E";><img
src="https://ci.ignite.apache.org/app/rest/builds/buildType:(id:IgniteTests24Java8_RunAll)/statusIcon.svg"/></a>
-
-
-## Getting Started
-
-For information on how to get started with Apache Ignite, please visit:
[Getting Started][getting-started].
-
-## Full Documentation
-
-You can find the full Apache Ignite documentation here: [Full
documentation][docs].
+<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://twitter.com/ApacheIgnite)
## What is Apache Ignite?
-[Apache Ignite][apache-ignite-homepage] is a memory-centric distributed
<strong>database</strong>, <strong>caching</strong>,
- and <strong>processing</strong> platform for transactional, analytical, and
streaming workloads delivering in-memory
- speeds at petabyte scale.
+Apache Ignite is a distributed database for high-performance computing with
in-memory speed.
<p align="center">
- <a href="https://ignite.apache.org/whatisignite.html";>
- <img src="https://ignite.apache.org/images/ignite_architecture.png";
width="400px"/>
+ <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>
-## Memory-Centric Storage
-Apache Ignite is based on distributed memory-centric architecture that
combines the performance and scale of in-memory
-computing together with the disk durability and strong consistency in one
system.
-
-The main difference between the memory-centric approach and the traditional
disk-centric approach is that the memory
-is treated as a fully functional storage, not just as a caching layer, like
most databases do.
-For example, Apache Ignite can function in a pure in-memory mode, in which
case it can be treated as an
-In-Memory Database (IMDB) and In-Memory Data Grid (IMDG) in one.
+* [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)
-On the other hand, when persistence is turned on, Ignite begins to function as
a memory-centric system where most of
-the processing happens in memory, but the data and indexes get persisted to
disk. The main difference here
-from the traditional disk-centric RDBMS or NoSQL system is that Ignite is
strongly consistent, horizontally
-scalable, and supports both SQL and key-value processing APIs.
+## Multi-Tier Storage
-[Read More](https://ignite.apache.org/arch/memorycentric.html)
+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.
-## Ignite Persistence
+[Read More](https://ignite.apache.org/arch/multi-tier-storage.html)
-Ignite Native Persistence is a distributed, ACID, and SQL-compliant **disk
store** that transparently integrates with
-Ignite memory-centric storage as an optional disk layer storing data and
indexes on SSD,
- Flash, 3D XPoint, and other types of non-volatile storages.
+## Ignite Native Persistence
-With the Ignite Persistence enabled, you no longer need to keep all the data
and indexes in memory or warm it
-up after a node or cluster restart because the Durable Memory is tightly
coupled with persistence and treats
-it as a secondary memory tier. This implies that if a subset of data or an
index is missing in RAM,
-the Durable Memory will take it from the disk.
-
-<p align="center">
- <a href="https://apacheignite.readme.io/docs/distributed-persistent-store";>
- <img
src="https://ignite.apache.org/images/native_persistence.png?renew";
width="400px"/>
- </a>
-</p>
+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://apacheignite.readme.io/docs/transactions)
-
-## Complete SQL Support
-Ignite provides full support for SQL, DDL and DML, allowing users to interact
with Ignite using pure SQL without writing any code. This means that users can
create tables and indexes as well as insert, update, and query data using only
SQL. Having such complete SQL support makes Ignite a one-of-a-kind
**distributed SQL database**.
-
-[Read More](https://apacheignite.readme.io/docs/distributed-sql)
-
-## Key-Value
-The in-memory data grid component in Ignite is a fully transactional
**distributed key-value store** that can scale horizontally across 100s of
servers in the cluster. When persistence is enabled, Ignite can also store more
data than fits in memory and survive full cluster restarts.
+[Read More](https://ignite.apache.org/features/transactions.html)
-[Read More](https://apacheignite.readme.io/docs/data-grid)
+## 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.
-## Collocated Processing
-Most traditional databases work in a client-server fashion, meaning that data
must be brought to the client side for processing. This approach requires lots
of data movement from servers to clients and generally does not scale. Ignite,
on the other hand, allows for sending light-weight computations to the data,
i.e. **collocating** computations with data. As a result, Ignite scales better
and minimizes data movement.
+[Read More](https://ignite.apache.org/features/sql.html)
-[Read More](https://apacheignite.readme.io/docs/collocate-compute-and-data)
+## 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.
-## Scalability and Durability
-Ignite is an elastic, horizontally scalable distributed system that supports
adding and removing cluster nodes on demand. Ignite also allows for storing
multiple copies of the data, making it resilient to partial cluster failures.
If the persistence is enabled, then data stored in Ignite will also survive
full cluster failures. Cluster restarts in Ignite can be very fast, as the data
becomes operational instantaneously directly from disk. As a result, the data
does not need to be preload [...]
+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 [...]
-[Read More](https://apacheignite.readme.io/docs/clustering)
\ No newline at end of file
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