7 Best Alternatives to PlanetScale in 2026

Why look beyond PlanetScale

PlanetScale offers a serverless MySQL experience, distinguished by features like database branching and non-blocking schema changes, which can streamline developer workflows and enable zero-downtime deployments. Its compatibility with the MySQL protocol allows existing MySQL tools and applications to connect without modification, simplifying adoption for teams already familiar with MySQL PlanetScale's API reference.

However, developers may seek alternatives for several reasons. Cost can be a factor, particularly as usage scales beyond the free tier, as PlanetScale's pricing model is based on row reads and storage. Another consideration might be the desire for a different database engine, such as PostgreSQL, which offers a broader range of data types and advanced features like JSONB support, making it suitable for more complex data structures. Some projects might require full control over their database infrastructure, which a managed serverless offering might not provide, leading to a preference for self-hosted or more traditional cloud-managed database services. Additionally, specific compliance requirements or geographic data residency needs could influence the choice, prompting a search for providers with a wider global footprint or specific certifications. Finally, teams looking for a holistic backend solution that integrates database services with authentication, storage, and serverless functions might find a platform that offers more than just a database to be a better fit.

Top alternatives ranked

1. 1. Neon — Serverless PostgreSQL with database branching

   Neon is a serverless PostgreSQL database designed for modern web applications, offering a blend of scalability, developer-centric features, and cost efficiency. It provides features like instant branching, similar to Git, allowing developers to create isolated database environments for development, testing, and staging without affecting production. This capability streamlines schema changes and data migrations, reducing the risk of errors and facilitating collaborative development. Neon separates storage and compute, enabling independent scaling and cost optimization, as compute resources can scale down to zero during periods of inactivity Neon's 'About Us' documentation. It supports a broad range of PostgreSQL features and extensions, making it a versatile choice for various application types. Its architecture is particularly well-suited for serverless functions and modern frontend frameworks that require a highly responsive and scalable backend.

   Best for: Serverless applications, rapid prototyping, applications requiring advanced PostgreSQL features, and teams utilizing database branching for development workflows.

   Visit the Neon profile page

2. 2. Supabase — Open-source Firebase alternative with PostgreSQL

   Supabase is an open-source backend-as-a-service (BaaS) platform that provides a complete suite of tools for building web and mobile applications, centered around a PostgreSQL database Supabase Getting Started guide. It offers features like real-time subscriptions, authentication, storage, and serverless functions, all integrated with a powerful and flexible PostgreSQL backend. Supabase aims to be an open-source alternative to Firebase, giving developers more control and flexibility over their stack. Its database offers robust SQL capabilities, allowing for complex queries and data manipulations. The platform's emphasis on open standards and community contributions ensures transparency and extensibility. Supabase's integrated tooling simplifies common backend tasks, enabling developers to focus on building their application's core features rather than managing infrastructure. Its real-time capabilities are particularly strong for applications requiring instant data updates, such as chat applications or collaborative tools.

   Best for: Full-stack applications, real-time applications, projects requiring a comprehensive backend-as-a-service, and developers comfortable with PostgreSQL and open-source solutions.

   Visit the Supabase profile page

3. 3. CockroachDB — Distributed SQL database for global scale

   CockroachDB is a cloud-native, distributed SQL database designed for global scale and high availability. It is PostgreSQL-compatible, meaning applications can often migrate with minimal code changes, while gaining the benefits of a horizontally scalable and fault-tolerant architecture CockroachDB Feature Overview. Unlike traditional relational databases, CockroachDB automatically distributes and replicates data across multiple nodes and geographic regions, ensuring resilience against outages and providing low-latency access to data for globally distributed users. Its strong consistency guarantees data integrity, even in the event of node failures. CockroachDB is built to handle high-volume transactional workloads and offers features like multi-region deployments, online schema changes, and automatic rebalancing of data. It can be deployed on-premises, in any cloud environment, or as a fully managed service (CockroachDB Serverless).

   Best for: Globally distributed applications, high-traffic transactional systems, applications requiring extreme fault tolerance and availability, and projects that need PostgreSQL compatibility at scale.

   Visit the CockroachDB profile page

4. 4. MySQL — The widely adopted open-source relational database

   MySQL is a widely adopted open-source relational database management system (RDBMS) known for its reliability, performance, and ease of use MySQL 'What is MySQL?' documentation. As the underlying protocol for PlanetScale, MySQL offers a familiar environment for many developers. It is a mature technology with extensive documentation, a large community, and a vast ecosystem of tools and connectors. MySQL is suitable for a broad range of applications, from small websites to large-scale enterprise systems. It supports ACID transactions, various storage engines (like InnoDB), and robust security features. While PlanetScale abstracts away much of the operational complexity of MySQL, directly managing a MySQL instance, whether self-hosted or through a cloud provider (e.g., Amazon RDS, Azure Database for MySQL, Google Cloud SQL for MySQL), gives developers full control over configuration, scaling, and specific optimizations. This control can be crucial for highly customized environments or specific performance tuning requirements. MySQL's flexibility allows for both vertical and horizontal scaling, though horizontal scaling often requires more manual setup compared to serverless offerings.

   Best for: Traditional web applications, custom database configurations, projects requiring full control over database infrastructure, and teams with existing MySQL expertise who prefer self-management or traditional cloud-managed services.

   Visit the MySQL profile page

5. 5. PostgreSQL — Advanced open-source object-relational database

   PostgreSQL is a powerful, open-source object-relational database system known for its robust feature set, extensibility, and adherence to SQL standards PostgreSQL official documentation. It supports a wide array of data types, including JSON, XML, and geometric types, making it highly versatile for various application needs. PostgreSQL offers advanced features like complex queries, material views, foreign data wrappers, and a sophisticated indexing system. Its extensibility allows users to define custom functions, data types, and even integrate with other programming languages. While PlanetScale focuses on a serverless MySQL experience, PostgreSQL provides a more feature-rich SQL environment that can be advantageous for applications with complex data models or specific analytical requirements. It can be self-hosted, deployed on virtual machines, or managed through cloud providers like Amazon RDS for PostgreSQL, Azure Database for PostgreSQL, or Google Cloud SQL for PostgreSQL. The strong community support and active development ensure continuous improvement and a wealth of resources for developers.

   Best for: Complex data models, analytical applications, geospatial data, applications requiring advanced SQL features, and projects that benefit from a highly extensible and standards-compliant database.

   Visit the PostgreSQL profile page

6. 6. Docker — Containerization for database environments

   Docker is a platform for developing, shipping, and running applications in containers Docker Get Started Overview. While not a database itself, Docker is a foundational tool for managing database environments, including MySQL and PostgreSQL, in development and production. By containerizing databases, developers can ensure consistency across different environments, from local machines to staging and production servers. Docker Compose, in particular, allows for defining and running multi-container Docker applications, making it straightforward to set up a database alongside an application and other services. This approach offers control over database versions, configurations, and dependencies. For teams that prioritize local development parity, easy environment setup, and portability, Docker provides a powerful solution to manage database instances. It allows for quick spin-up and tear-down of database instances, facilitating testing and development without affecting other projects or requiring complex local installations. Integrating Docker into a CI/CD pipeline also enables automated testing against specific database versions and configurations.

   Best for: Local development environments, consistent staging environments, microservices architectures, and teams requiring fine-grained control over database versions and dependencies.

   Visit the Docker profile page

7. 7. Deno — Runtime for JavaScript, TypeScript, and WebAssembly

   Deno is a secure runtime for JavaScript, TypeScript, and WebAssembly, developed by the creator of Node.js Deno runtime overview. While Deno is a runtime and not a database, it is relevant as an alternative backend environment for applications that might otherwise use PlanetScale for their database needs. Deno emphasizes security by default, requiring explicit permissions for file system, network, and environment access. It offers built-in TypeScript support, a robust standard library, and a modern module system based on URLs. For developers building serverless functions or backend APIs, Deno provides a compelling environment. When paired with a database like Neon or Supabase, Deno can power highly scalable and secure applications. Its native WebAssembly support also opens up possibilities for high-performance computing within the application logic. Deno's tooling is integrated, providing a streamlined development experience without external package managers or configuration files.

   Best for: Modern backend services, serverless functions, TypeScript-first development, secure application environments, and developers seeking a robust JavaScript/TypeScript runtime.

   Visit the Deno profile page

Side-by-side

How to pick

Choosing the right PlanetScale alternative depends heavily on your project's specific requirements, your team's existing expertise, and your priorities regarding cost, control, and database features.

Consider a serverless PostgreSQL solution if:

• You are building new serverless applications and require a highly scalable, pay-as-you-go database.
• You need advanced PostgreSQL features, such as JSONB support, custom data types, or complex analytical queries.
• Your team prefers Git-like branching for database development to streamline schema changes and collaborative workflows (e.g., Neon).
• You are looking for a comprehensive backend platform that includes authentication, storage, and serverless functions alongside your database (e.g., Supabase).

Opt for a distributed SQL database if:

• Your application requires global distribution, extreme fault tolerance, and high availability across multiple regions.
• You need strong consistency guarantees at scale for transactional workloads.
• You prefer a PostgreSQL-compatible interface but require the underlying architecture to handle massive scale and resilience automatically (e.g., CockroachDB).

Choose a traditional MySQL or PostgreSQL setup if:

• You require full control over your database infrastructure, including specific configurations, performance tuning, and scaling strategies.
• Your team has deep expertise in managing and optimizing traditional relational databases.
• You have specific compliance or data residency requirements that necessitate self-hosting or deployment on particular cloud infrastructure (e.g., MySQL, PostgreSQL).
• Your application is a legacy system that relies on specific database versions or features not fully supported by serverless offerings.

Leverage containerization with Docker if:

• You want to ensure consistent development, staging, and production environments for your database.
• Your project involves microservices, where each service might interact with its own database instance.
• You need to quickly spin up and tear down database instances for testing, development, or continuous integration pipelines (e.g., Docker).

Consider Deno as your backend runtime if:

• You are building new backend services or serverless functions and prefer a modern, secure JavaScript/TypeScript runtime.
• You value built-in TypeScript support, a standard library, and a secure-by-default environment.
• You are pairing it with a separate database solution (e.g., Neon or Supabase) for your data persistence needs (e.g., Deno).

Ultimately, the best alternative aligns with your technical capabilities, operational preferences, and the long-term vision for your application's data layer. Evaluate each option based on its features, pricing model, community support, and how well it integrates with the rest of your technology stack.