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Open Source PlanetScale Alternatives

A curated collection of the 9 best open source alternatives to PlanetScale.

The best open source alternative to PlanetScale is Supabase. If that doesn't suit you, we've compiled a ranked list of other open source PlanetScale alternatives to help you find a suitable replacement. Other interesting open source alternatives to PlanetScale are: TiDB, Neon Postgres, Turso, and Instant.

PlanetScale alternatives are mainly Relational Databases (SQL) but may also be Backend-as-a-Service (BaaS) Tools or NoSQL & Document Databases. Browse these if you want a narrower list of alternatives or looking for a specific functionality of PlanetScale.

Piotr Kulpinski's profile

Written by Piotr Kulpinski

A powerful, scalable backend platform offering real-time databases, authentication, storage, and serverless functions for rapid development.

Screenshot of Supabase website

Supabase is an open-source platform that revolutionizes backend development, providing developers with a comprehensive suite of tools to build modern applications quickly and efficiently. At its core, Supabase offers:

  • PostgreSQL Database: A powerful, scalable database with real-time capabilities, allowing you to build responsive applications that update instantly.
  • Authentication: Secure, customizable authentication systems supporting multiple providers, including email/password, social logins, and single sign-on.
  • Storage: Scalable object storage for managing and serving files, integrated seamlessly with your database and authentication systems.
  • Serverless Functions: Write and deploy custom logic without managing infrastructure, enabling you to extend your application's capabilities effortlessly.
  • Real-time Subscriptions: Build reactive applications that update in real-time across devices, enhancing user engagement and interactivity.
  • Auto-generated APIs: Instantly create RESTful and GraphQL APIs based on your database schema, accelerating development and reducing boilerplate code.
  • Dashboard: An intuitive web interface for managing your projects, databases, and services, making administration a breeze.

Supabase combines these features into a cohesive, developer-friendly platform that scales with your needs. Whether you're building a small prototype or a large-scale application, Supabase provides the tools and flexibility to bring your ideas to life quickly and efficiently. With its open-source nature, you benefit from a transparent, community-driven ecosystem and the freedom to self-host or use the managed cloud service.

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.

Distributed SQL database combining OLTP and OLAP capabilities, offering horizontal scalability, high availability, and real-time analytics.

Screenshot of TiDB website

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:

  • Horizontal Scalability: Easily scale out to handle growing data volumes and user requests without sacrificing performance.
  • High Availability: Built-in fault tolerance and automatic failover ensure your data is always accessible.
  • Real-Time Analytics: Perform complex queries on fresh transactional data without impacting OLTP performance.
  • MySQL Compatibility: Leverage existing MySQL ecosystems and skills with minimal migration effort.
  • Cloud-Native Architecture: Designed for modern cloud environments, supporting containerization and orchestration.
  • HTAP Capabilities: Handle both transactional and analytical workloads in a single system, eliminating data silos.
  • Strong Consistency: Ensure data integrity with distributed transactions and ACID compliance.
  • Flexible Deployment: Run on-premises, in the cloud, or in hybrid environments to suit your needs.

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.

Cloud-native, auto-scaling Postgres with instant branching, bottomless storage, and pay-per-use pricing

Screenshot of Neon Postgres website

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:

  • Serverless Architecture: Enjoy automatic scaling and pay only for the resources you use, eliminating the need for manual capacity planning.
  • Instant Branching: Create database branches in seconds, perfect for development, testing, and CI/CD workflows.
  • Bottomless Storage: Leverage separated storage and compute with practically unlimited capacity, ensuring your data grows with your application.
  • Multi-Cloud Support: Deploy across multiple cloud providers for enhanced reliability and global presence.
  • Advanced Security: Benefit from built-in encryption, access controls, and compliance features to keep your data safe.
  • Postgres Compatibility: Utilize the full power of Postgres, including extensions and the latest versions.
  • Developer-Friendly: Integrate seamlessly with modern development tools and frameworks for a smooth workflow.

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.

Turso provides a simple developer experience with SQLite compatibility, allowing you to build and scale multi-tenant applications with unlimited databases.

Screenshot of Turso website

Turso is a powerful database solution designed for developers who want the simplicity of SQLite with the scalability needed for production environments.

Here's why Turso stands out:

  • Multi-tenant AI Applications: Turso enables you to create personalized LLM instances with infinite context windows using unlimited databases. This feature is perfect for building AI-powered applications that require separate data stores for each user or context.

  • On-Device Capabilities: Turso offers SDKs for mobile and on-device AI, allowing you to build powerful offline-capable apps across major platforms. You can optimize LLMs locally using Turso's SQLite-based database within your application, ensuring data privacy and reducing network latency.

  • Vector Search Integration: Seamlessly integrate Vector Embeddings with relational data in single transactions. This feature is crucial for AI and machine learning applications that require efficient similarity searches.

  • Open Source and Secure: Built on libSQL, an open-source SQLite-compatible database engine, Turso ensures your data is always portable. It offers encryption at rest and in transit, with SOC2 and HIPAA compliance available out of the box.

  • Developer-Friendly Experience: Enjoy a simple developer experience that feels like working with SQLite. Turso provides flexible development options, allowing you to work locally or remotely and deploy globally when ready.

  • Scalability and Performance: With features like automatic sync and programmable conflict resolution, Turso keeps your app data fresh and consistent across multiple instances. Its API-first approach and platform API enable efficient, programmatic database management at scale.

Whether you're building a complex AI application, a mobile app with offline capabilities, or a scalable multi-tenant system, Turso provides the tools and flexibility to meet your database needs while maintaining the simplicity developers love about SQLite.

Instant is a database solution for building real-time and offline-enabled applications, simplifying the development of collaborative products.

Screenshot of Instant website

Instant is a revolutionary database solution designed for developers building real-time and offline-enabled applications. It simplifies the process of creating collaborative products like Notion or Figma by providing a database that can be subscribed to directly in the browser.

Key features and benefits:

  1. Realtime Updates: Instant handles optimistic updates and rollbacks automatically, allowing developers to focus on writing frontend code without worrying about complex backend logic.

  2. Multiplayer Support: Built-in infrastructure for collaborative experiences, including live updates across devices and user accounts.

  3. Offline Mode: Applications built with Instant work seamlessly offline, with local caching and automatic reconciliation when users come back online.

  4. Easy Integration: Developers can write relational queries directly in their app, and Instant takes care of the rest, including servers, auth, permissions, and endpoints.

  5. Scalability: Start without a backend and scale to complex use cases as needed. Instant provides an admin SDK for custom backend logic when required.

  6. Enhanced User Experience: Easily implement features like shared cursors, typing indicators, and presence information with minimal code.

  7. Cross-Platform Compatibility: Works across web and mobile platforms, allowing developers to reuse data logic across different environments.

Instant is backed by Y Combinator and has received praise from industry leaders, including the co-founder of Firebase and engineers from Meta, Stripe, and OpenAI. The team behind Instant consists of senior and staff engineers from Facebook and Airbnb, bringing deep expertise to solve one of the largest problems in frontend development today.

By using Instant, developers can significantly reduce development time and complexity, focusing on building great user experiences rather than dealing with the intricacies of real-time data synchronization and offline support.

Scalable, high-availability database system supporting OLTP, OLAP, and hybrid transactional/analytical processing workloads.

Screenshot of OceanBase website

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:

  • Scalability: Easily scale out to handle petabytes of data and millions of transactions per second.
  • High Availability: Multi-paxos consensus algorithm ensures 99.999% uptime and strong data consistency.
  • Versatility: Supports OLTP, OLAP, and HTAP workloads, eliminating the need for separate systems.
  • Cost-Effective: Significantly reduces hardware costs and operational complexity compared to traditional databases.
  • Compatibility: Supports MySQL and Oracle protocols, facilitating seamless migration and integration.
  • Real-Time Analytics: Perform complex queries on live transactional data without impacting performance.
  • Multi-Tenancy: Efficiently isolate and manage multiple database instances within a single cluster.

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.

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.

Distributed SQL database designed for high-speed ingestion and complex queries on massive datasets, ideal for IoT and time-series data.

Screenshot of CrateDB website

CrateDB is a powerful, distributed SQL database that excels in handling massive amounts of machine data in real-time. Built for the modern data landscape, it offers:

  • Scalability: Easily scale horizontally across clusters to handle growing data volumes and user loads.
  • Real-time analytics: Perform complex queries on large datasets with sub-second response times.
  • Time-series optimization: Specifically designed to efficiently store and query time-series and IoT data.
  • SQL + NoSQL: Combine the familiarity of SQL with the flexibility of schemaless data.
  • Full-text search: Built-in Lucene-based full-text search capabilities for comprehensive data exploration.
  • Multi-model: Support for structured, semi-structured, and geospatial data in a single database.
  • Cloud-native: Containerized architecture for easy deployment in cloud environments.
  • Low operational overhead: Self-healing clusters and automated sharding reduce management complexity.

CrateDB empowers organizations to derive actionable insights from their machine data, supporting use cases from IoT analytics and monitoring to log analysis and real-time dashboards. With its unique architecture, CrateDB bridges the gap between traditional relational databases and modern NoSQL systems, offering the best of both worlds for data-intensive applications.

SlateDB is an embedded storage engine that leverages object storage for durability, scalability, and simplified replication without the need for disk management.

Screenshot of SlateDB website

SlateDB is an innovative embedded storage engine that revolutionizes data management by building on top of object storage.

Here are its key features and benefits:

  • Object Store Durability: SlateDB inherits the exceptional durability of your chosen object store, offering up to 99.999999999% durability. This ensures your data remains safe and accessible.
  • Zero-Disk Architecture: By running without disks, SlateDB eliminates common issues like disk failures and corruption. This design simplifies infrastructure management and reduces hardware-related concerns.
  • Simple Replication: SlateDB leverages the underlying object store's replication capabilities, removing the need for complex custom replication protocols. This approach streamlines data distribution and backup.
  • Tunable Performance: Configure SlateDB to optimize for your specific needs, whether it's low latency, cost-efficiency, or high durability. This flexibility allows you to balance performance and resources effectively.
  • Scalable Readers: Supporting a single writer and multiple readers, SlateDB is designed for concurrent access. It also includes built-in detection and fencing of zombie writers, ensuring data consistency.
  • Built in Rust: As an embeddable library written in Rust, SlateDB offers performance, safety, and cross-language compatibility. Use it with your preferred programming language for seamless integration.

SlateDB simplifies database management by abstracting away many low-level concerns, allowing developers to focus on building their applications rather than managing infrastructure. Its design makes it particularly suitable for cloud-native applications, distributed systems, and scenarios where durability and scalability are crucial.

Hydra embeds DuckDB's state-of-the-art analytics engine into standard Postgres, offering millisecond response times for complex queries.

Screenshot of Hydra website

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:

  1. Millisecond response times: Hydra's integration of DuckDB's columnar-vectorized query engine enables lightning-fast analytics on large datasets.

  2. Seamless Postgres integration: Developers can leverage familiar Postgres interfaces and tools while gaining access to DuckDB's analytical prowess.

  3. Open-source and MIT licensed: Hydra is freely available and can be used, modified, and distributed under the permissive MIT license.

  4. Scalability: From laptop to cloud, Hydra is designed to handle varying workloads and data sizes efficiently.

  5. Object storage connectivity: Easily connect with popular object storage solutions like S3, Cloudflare R2, Google GCS, and Azure.

  6. Feature-rich SQL: Take advantage of advanced SQL features for complex data analysis and manipulation.

  7. 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.

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