The best open source alternative to Turso is TiDB. If that doesn't suit you, we've compiled a ranked list of other open source Turso alternatives to help you find a suitable replacement. Other interesting open source alternatives to Turso are: Neon Postgres, OceanBase, and Hydra.
Turso alternatives are mainly Relational Databases (SQL) but may also be Database Tools & GUIs or Data Warehousing & Processing Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Turso.
Distributed SQL database combining OLTP and OLAP capabilities, offering horizontal scalability, high availability, and real-time analytics.

TiDB is a powerful, open-source distributed SQL database that seamlessly combines online transactional processing (OLTP) with online analytical processing (OLAP) workloads. This innovative database solution offers:
TiDB empowers businesses to make data-driven decisions faster, simplify their database infrastructure, and reduce operational costs. Whether you're dealing with large-scale e-commerce, financial services, or IoT data, TiDB provides the performance, scalability, and reliability needed for modern applications.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
Cloud-native, auto-scaling Postgres with instant branching, bottomless storage, and pay-per-use pricing

Neon Postgres revolutionizes database management with its serverless, cloud-native architecture. Built for modern applications, it offers a powerful combination of features that enhance developer productivity and optimize resource usage.
Key benefits include:
Neon Postgres combines the reliability of traditional databases with the flexibility of cloud-native solutions, making it an ideal choice for startups, enterprises, and everything in between. Experience the future of database management with Neon Postgres.
Scalable, high-availability database system supporting OLTP, OLAP, and hybrid transactional/analytical processing workloads.

OceanBase is a cutting-edge distributed relational database management system designed to handle massive-scale data processing with unparalleled performance and reliability. Built to meet the demands of modern enterprises, OceanBase offers:
OceanBase's innovative architecture combines the benefits of distributed systems with the familiarity of traditional relational databases, making it an ideal choice for organizations seeking to modernize their data infrastructure while maintaining operational continuity.
Hydra embeds DuckDB's state-of-the-art analytics engine into standard Postgres, offering millisecond response times for complex queries.

Hydra is an innovative open-source project that combines the power of PostgreSQL with DuckDB's high-performance analytics engine. This hybrid solution allows developers to build faster applications with advanced analytical capabilities right within their Postgres database.
Key features and benefits:
Millisecond response times: Hydra's integration of DuckDB's columnar-vectorized query engine enables lightning-fast analytics on large datasets.
Seamless Postgres integration: Developers can leverage familiar Postgres interfaces and tools while gaining access to DuckDB's analytical prowess.
Open-source and MIT licensed: Hydra is freely available and can be used, modified, and distributed under the permissive MIT license.
Scalability: From laptop to cloud, Hydra is designed to handle varying workloads and data sizes efficiently.
Object storage connectivity: Easily connect with popular object storage solutions like S3, Cloudflare R2, Google GCS, and Azure.
Feature-rich SQL: Take advantage of advanced SQL features for complex data analysis and manipulation.
Zero dependencies: Hydra integrates seamlessly into existing Postgres setups without requiring additional dependencies.
Hydra is backed by Y Combinator and has garnered support from industry leaders, including the DuckDB Foundation, Dagster, Svix, and HashiCorp. Its ability to handle both transactional and analytical workloads in a single database makes it an attractive solution for companies looking to simplify their data architecture while improving query performance.
The project is actively developed and maintained, with regular updates and improvements. Developers can contribute to the project, join the community on Discord, or become supporters to help drive the future of this innovative database solution.