|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Superset||52,351||2||4 hours ago||3||April 29, 2022||1,350||apache-2.0||TypeScript|
|Apache Superset is a Data Visualization and Data Exploration Platform|
|Tidb||34,178||68||101||17 hours ago||1,289||April 07, 2022||4,023||apache-2.0||Go|
|TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial|
|Metabase||32,658||17 hours ago||1||June 08, 2022||3,044||other||Clojure|
|The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:|
|Dbeaver||32,297||17 hours ago||1,748||apache-2.0||Java|
|Free universal database tool and SQL client|
|Cockroach||27,254||50||22||17 hours ago||248||August 06, 2021||6,682||other||Go|
|CockroachDB - the open source, cloud-native distributed SQL database.|
|Sqlmap||27,229||2 days ago||1||February 27, 2018||58||other||Python|
|Automatic SQL injection and database takeover tool|
|Directus||21,811||50||17 hours ago||55||September 22, 2022||221||other||TypeScript|
|The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.|
|Tdengine||21,413||1||18 hours ago||12||April 14, 2022||1,033||agpl-3.0||C|
|TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.|
|Surrealdb||20,722||18 hours ago||35||December 14, 2021||227||other||Rust|
|A scalable, distributed, collaborative, document-graph database, for the realtime web|
|Postgrest||20,631||4||2 days ago||37||July 12, 2022||205||mit||Haskell|
|REST API for any Postgres database|
Databend is an open-source Elastic and Workload-Aware modern cloud data warehouse focusing on Low-Cost and Low-Complexity for your massive-scale analytics needs.
Databend uses the latest techniques in vectorized query processing to allow you to do blazing-fast data analytics on object storage: (S3, Azure Blob, Google Cloud Storage, Alibaba Cloud OSS, Tencent Cloud COS, Huawei Cloud OBS, Cloudflare R2, Wasabi or MinIO).
Support for atomic operations including
SELECT/INSERT/DELETE/UPDATE/REPLACE/COPY/ALTER and advanced features like Time Travel, Multi Catalog(Apache Hive/Apache Iceberg).
Databend completely separates storage from compute, which allows you easily scale up or scale down based on your application's needs.
Databend leverages data-level parallelism(Vectorized Query Execution) and instruction-level parallelism(SIMD) technology, offering blazing performance data analytics.
Git-like MVCC Storage
Databend stores data with snapshots, enabling users to effortlessly query, clone, or restore data from any history timepoint.
Support for Semi-Structured Data
Databend supports ingestion of semi-structured data in various formats like CSV, JSON, and Parquet, which are located in the cloud or your local file system; Databend also supports semi-structured data types: ARRAY, TUPLE, MAP, JSON, which is easy to import and operate on semi-structured.
Databend is ANSI SQL compliant and MySQL/ClickHouse wire protocol compatible, making it easy to connect with existing tools(MySQL Client, ClickHouse HTTP Handler, Vector, DBeaver, Jupyter, JDBC, etc.).
Easy to Use
Databend has no indexes to build, no manual tuning required, no manual figuring out partitions or shard data, its all done for you as data is loaded into the table.
The fastest way to try Databend, Databend Cloud
Prepare the image (once) from Docker Hub (this will download about 170 MB data):
docker pull datafuselabs/databend
To run Databend quickly:
docker run --net=host datafuselabs/databend
Databend is an open source project, you can help with ideas, code, or documentation, we appreciate any efforts that help us to make the project better! Once the code is merged, your name will be stored in the system.contributors table forever.
To get started with contributing:
For general help in using Databend, please refer to the official documentation. For additional help, you can use one of these channels to ask a question:
Databend is released under a combination of two licenses: the Apache License 2.0 and the Elastic License 2.0.
When contributing to Databend, you can find the relevant license header in each file.
For more information, see the LICENSE file and Licensing FAQs.