| apache/doris |
10,666 |
|
0 |
0 |
about 2 years ago |
8 |
September 27, 2023 |
2,332 |
apache-2.0 |
Java |
| Apache Doris is an easy-to-use, high performance and unified analytics database. |
| apache/zeppelin |
6,229 |
|
32 |
31 |
about 2 years ago |
2 |
June 21, 2017 |
160 |
apache-2.0 |
Java |
| Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. |
| risingwavelabs/risingwave |
5,799 |
|
0 |
0 |
about 2 years ago |
14 |
December 07, 2023 |
1,010 |
apache-2.0 |
Rust |
| The distributed streaming database. Engineered to offer the simplest and most cost-efficient way for stream processing and management. |
| doocs/technical-books |
5,519 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
cc-by-sa-4.0 |
HTML |
| 😆 国内外互联网技术大牛们都写了哪些书籍：计算机基础、网络、前端、后端、数据库、架构、大数据、深度学习... |
| ibis-project/ibis |
3,404 |
|
24 |
29 |
about 2 years ago |
68 |
December 10, 2023 |
157 |
apache-2.0 |
Python |
| The flexibility of Python with the scale and performance of modern SQL. |
| zio/zio-quill |
2,172 |
|
1 |
20 |
8 days ago |
98 |
October 06, 2022 |
314 |
apache-2.0 |
Scala |
| Compile-time Language Integrated Queries for Scala |
| metabrainz/listenbrainz-server |
613 |
|
0 |
0 |
about 2 years ago |
0 |
|
20 |
gpl-2.0 |
Python |
| Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses. |
| housepower/ClickHouse-Native-JDBC |
502 |
|
1 |
8 |
over 2 years ago |
33 |
October 09, 2023 |
28 |
apache-2.0 |
Java |
| ClickHouse Native Protocol JDBC implementation |
| LucaCanali/Miscellaneous |
382 |
|
0 |
0 |
over 2 years ago |
3 |
May 20, 2022 |
1 |
apache-2.0 |
Jupyter Notebook |
| Includes notes on Apache Spark, Spark for Physics, Jupyter notebook examples for Spark, Oracle and other DB systems. |
| microsoft/hyperspace |
334 |
|
0 |
0 |
over 4 years ago |
5 |
January 29, 2021 |
127 |
apache-2.0 |
Scala |
| An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads. |
