|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Superset||52,153||2||10 hours ago||3||April 29, 2022||1,352||apache-2.0||TypeScript|
|Apache Superset is a Data Visualization and Data Exploration Platform|
|Tidb||34,109||68||101||5 hours ago||1,289||April 07, 2022||3,988||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||32,546||a day ago||1||June 08, 2022||2,999||other||Clojure|
|The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:|
|Dbeaver||32,157||2 days ago||1,756||apache-2.0||Java|
|Free universal database tool and SQL client|
|Cockroach||27,198||50||22||7 hours ago||248||August 06, 2021||6,709||other||Go|
|CockroachDB - the open source, cloud-native distributed SQL database.|
|Sqlmap||27,090||3 days ago||1||February 27, 2018||61||other||Python|
|Automatic SQL injection and database takeover tool|
|Directus||21,693||50||2 days ago||55||September 22, 2022||220||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||21,381||1||12 hours ago||12||April 14, 2022||994||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.|
|Postgrest||20,586||4||9 hours ago||37||July 12, 2022||209||mit||Haskell|
|REST API for any Postgres database|
|Surrealdb||20,547||6 hours ago||35||December 14, 2021||224||other||Rust|
|A scalable, distributed, collaborative, document-graph database, for the realtime web|
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YDB is an open-source Distributed SQL Database that combines high availability and scalability with strict consistency and ACID transactions.
YDB is designed from scratch as a response to growing demand for scalable interactive web services. Scalability, strict consistency and effective cross-row transactions were a must for such OLTP-like workload. YDB is built by people with strong background in databases and distributed systems, who had an experience of developing No-SQL database and the Map-Reduce system for one of the largest search engines in the world. We found that YDB's flexible design allows us to build more services on top of it including persistent queues and virtual block devices.
Basic YDB features:
YDB could be deployed in three availability zones. Cluster remains available for both reads and writes during complete outage of a single zone. Availability zones and regions are covered in more detail in documentation.
Unlike traditional relational databases YDB scales out providing developers with capability to simply extend cluster with computation or storage resources to handle increasing load. YDB has desaggregated storage and compute layers which allow you to scale storage and compute resources independently.
Current production installations have more than 10,000 nodes, store petabytes of data and handle millions distributed transactions per second.
YDB has built-in automatic recovery support to survive a hardware failure. After unpredictable disk, node, rack or even datacenter failure YDB remains fully available for reads and writes and restores required data redundancy automatically.
YDB has support for multitenant and serverless setups. A user can run a YDB cluster and create several databases that share one pool of storage and have different compute nodes. Alternatively a user can run several serverless databases that share one pool of compute resources to utilize them effectively.
YDB runs on x86 64bit platforms with minimum 8 GB of RAM.
We have major experience running production systems on 64-bit x86 machines working under Ubuntu Linux.
For development purposes we test that YDB could be built and run under latest versions of MacOS and Microsoft Windows on a regular basis.
We are glad to welcome new contributors!
Take a look at YDB web site for the latest success stories and user scenarios.