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new 89e6b42ec5 Revise README (#4381)
89e6b42ec5 is described below
commit 89e6b42ec5258dc2495c7d1efcd4911a09cdc89f
Author: Liang Chen <[email protected]>
AuthorDate: Thu Jan 1 14:42:41 2026 +0800
Revise README (#4381)
add Contributor Wall of Fame
---
README.md | 20 +++++++++-----------
1 file changed, 9 insertions(+), 11 deletions(-)
diff --git a/README.md b/README.md
index 7c0a4e9855..6a5f5fd3b1 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,12 @@
-->
<img src="/docs/images/CarbonData_logo.png" width="200" height="40">
+
+- Apache CarbonData is an indexed columnar data store solution for fast
analytics on big data platform, e.g. Apache Hadoop, Apache Spark, etc.
+You can find the latest CarbonData document and learn more at:
+[https://carbondata.apache.org](https://carbondata.apache.org/)
+
+[CarbonData cwiki](https://cwiki.apache.org/confluence/display/CARBONDATA/)
- AI-native data storage for CarbonData's new scope, In AI projects, data
scientists and engineers spend 80% of their time on data preparation.
Traditional storage presents numerous bottlenecks in this process:
- Data silos: Training data may be scattered across data lakes, data
warehouses, file systems, object storage, and other locations, making
integration difficult.
@@ -25,13 +31,6 @@
- Lack of metadata management: The lack of effective management of rich
metadata such as data versions, lineage, annotation information, and
experimental parameters leads to poor experimental reproducibility.
- Vectorization requirements: Modern AI models (such as large language
models) convert all data into vector embeddings. Traditional storage cannot
efficiently store and retrieve high-dimensional vectors.
-
-- In the previous releases Apache CarbonData is an indexed columnar data store
solution for fast analytics on big data platform, e.g. Apache Hadoop, Apache
Spark, etc.
-You can find the latest CarbonData document and learn more at:
-[https://carbondata.apache.org](https://carbondata.apache.org/)
-
-[CarbonData cwiki](https://cwiki.apache.org/confluence/display/CARBONDATA/)
-
## Status
Spark2.4:
[](https://coveralls.io/github/apache/carbondata?branch=master)
@@ -40,6 +39,9 @@ Spark2.4:
src="https://scan.coverity.com/projects/13444/badge.svg"/>
</a>
+## Contributor Wall of Fame
+[](https://github.com/apache/carbondata/graphs/contributors)
+
## Features
CarbonData file format is a columnar store in HDFS, it has many features that
a modern columnar format has, such as splittable, compression schema, complex
data type etc, and CarbonData has following unique features:
* Stores data along with index: it can significantly accelerate query
performance and reduces the I/O scans and CPU resources, where there are
filters in the query. CarbonData index consists of multiple level of indices,
a processing framework can leverage this index to reduce the task it needs to
schedule and process, and it can also do skip scan in more finer grain unit
(called blocklet) in task side scanning instead of scanning the whole file.
@@ -94,10 +96,6 @@ Some features are marked as experimental because the
syntax/implementation might
* [Apache CarbonData meetup
material](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=66850609)
* [Use Case
Articles](https://cwiki.apache.org/confluence/display/CARBONDATA/CarbonData+Articles)
-## Contributor Wall of Fame
-
-[](https://github.com/apache/carbondata/graphs/contributors)
-
## Fork and Contribute
This is an active open source project for everyone, and we are always open to
people who want to use this system or contribute to it.
This guide document introduces [how to contribute to
CarbonData](https://github.com/apache/carbondata/blob/master/docs/how-to-contribute-to-apache-carbondata.md).
![https://scan.coverity.com/projects/13444/badge.svg"/](https://scan.coverity.com/projects/13444/badge.svg"/){kind=link}