PlanetScale offers a database-as-a-service built on Vitess, enabling horizontal scaling of MySQL databases through sharding across multiple nodes. This platform ensures zero downtime for schema changes and migrations, providing high availability and performance for applications handling large volumes of data.
Funding
$105M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional MySQL databases face challenges in scaling horizontally to accommodate growing data volumes and increasing query loads, often requiring complex sharding strategies and resulting in application downtime during schema changes and migrations. Managing these databases at scale demands specialized expertise and can be a significant operational burden.
Solution
PlanetScale offers a database-as-a-service platform built on Vitess that enables horizontal scaling of MySQL databases without application downtime. The platform automatically shards databases across multiple nodes, distributing data and query load while presenting a single, logical database instance to the application. PlanetScale provides online schema changes, zero-downtime migrations, and automated query routing, simplifying database management and ensuring high availability and performance. The service includes proactive performance insights and recommendations, allowing developers to optimize database performance continuously.
Target Audience
PlanetScale targets developers and organizations that require highly scalable, reliable, and manageable MySQL databases for their applications, including those with large data volumes, high query loads, and demanding uptime requirements.
Features
- Horizontal sharding of MySQL databases powered by Vitess
- Online schema changes and zero-downtime migrations
- Global Edge Network for automatic query routing to the closest replica
- Connection pooling to maintain unlimited MySQL connections
- Automated query rewriting to improve poor query performance
- Insights dashboard for identifying and resolving performance bottlenecks
- Branching and deploy requests for schema changes with team review/approval
- Support for vector data alongside relational MySQL data
- CLI and API for workflow automation