TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads. Welcome to our community: https://discord.gg/74cF8vbNEs

ParadeDB is a modern Elasticsearch alternative built on Postgres. Built for real-time, update-heavy workloads.

A cloud-native database based on PostgreSQL developed by Alibaba Cloud.

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

Hyperconverged cloud-edge native database

PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.

BaikalDB, A Distributed HTAP Database.

A portable embedded database using Arrow.

StoneDB is an Open-Source MySQL HTAP and MySQL-Native DataBase for OLTP, Real-Time Analytics, a counterpart of MySQLHeatWave. (https://stonedb.io)

Unified MySQL, Postgres & FlightSQL Server, Powered by DuckDB.

PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.

Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt? (SIGMOD 2025 Best Paper Award)

In-memory, columnar, arrow-based database.

a serverless db service based on TiDB on the cloud, implementing dynamically scale the compute and storage nodes based on business load changes.

In a nutshell, EinsteinDB is a persistent indexing scheme based off of LSH-KVX that exploits the distinct merits of hash index and B+-Tree index to support range scan and avoids long NVM writes for maintaining consistency; thus improving on LSH’s performance guarantees for skewed data and adopts ordered-write consistency to ensure crash consiste…

Benchmark suite to evaluate HTAP database engines

The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

OLxPBench emphasizes that real-time queries, semantically consistent schema, and domain-specific workloads are essential in benchmarking, designing, and implementing HTAP systems.