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new b6a5890b3ab Add DACP to Powered By Apache Arrow list (#728)
b6a5890b3ab is described below
commit b6a5890b3abf6740d3d522324aa4ef3b008a5a6f
Author: Scottie <[email protected]>
AuthorDate: Fri Nov 14 22:46:45 2025 +0800
Add DACP to Powered By Apache Arrow list (#728)
Title: Add DACP to Powered By Apache Arrow list
Description:
We'd like to add Data Access and Collaboration Protocol (DACP) to the
"Powered By Apache Arrow" list.
Project details:
- Organization: Computer Network Information Center(CNIC), Chinese
Academy of Science(CAS)
- Project URL: https://github.com/rdcn-link/dftp-dacp
- Arrow components used: Apache Arrow Flight (for streaming data
interactions)
We confirm that the project complies with Apache Arrow's trademark and
logo usage guidelines.
Thank you for your review!
---------
Co-authored-by: Raúl Cumplido <[email protected]>
---
powered_by.md | 7 +++++++
1 file changed, 7 insertions(+)
diff --git a/powered_by.md b/powered_by.md
index e70ac7e0d30..119e180378f 100644
--- a/powered_by.md
+++ b/powered_by.md
@@ -80,6 +80,12 @@ short description of your use case.
* **[Cylon][35]:** An open-source high performance distributed data
processing library
that can be seamlessly integrated with existing Big Data and AI/ML
frameworks. Cylon
uses Arrow memory format and exposes language bindings to C++, Java, and
Python.
+* **[DACP][59]:** Data Access and Collaboration Protocol (DACP) is a
communication protocol
+ designed to support cross-node, cross-process data access in scientific and
distributed
+ computing environments. DACP provides standardized streaming-based data
interactions
+ over the Apache Arrow Flight protocol and defines a unified Streaming
DataFrame (SDF) model,
+ which acts as a high-performance abstraction for accessing
+ and processing both structured and unstructured data.
* **[Dask][15]:** Python library for parallel and distributed execution of
dynamic task graphs. Dask supports using pyarrow for accessing Parquet
files
@@ -289,3 +295,4 @@ short description of your use case.
[56]: https://github.com/spiceai/spiceai
[57]: https://squey.org
[58]: https://www.weisang.com/
+[59]: https://github.com/rdcn-link/dftp-dacp
