PlanetScale vs Kernel
Detailed side-by-side comparison to help you choose the right tool
PlanetScale
🔴DeveloperCloud & Hosting
Serverless MySQL-compatible and Postgres database platform with database branching capabilities that enables development teams to manage schema changes like code. PlanetScale provides managed Vitess, Postgres, horizontal sharding, non-blocking schema changes, and deployment options for applications requiring high-performance relational databases with modern development workflows and production-grade reliability.
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$5/monthKernel
🔴DeveloperCloud & Hosting
Managed browser infrastructure purpose-built for AI agents — spin up isolated Chrome sessions in seconds, with recording, captcha handling, and persistent state.
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$0Feature Comparison
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PlanetScale - Pros & Cons
Pros
- ✓Supports both Vitess and Postgres, giving teams options across a horizontally scalable MySQL-compatible architecture and a widely adopted relational database engine.
- ✓Vitess offering is specifically positioned for ultra scalability through horizontal sharding, which is valuable for applications that may outgrow a single-node database model.
- ✓Website highlights Metal databases with locally attached NVMe drives, making performance a central part of the platform rather than a secondary feature.
- ✓Deployment options include PlanetScale Managed with bring-your-own-cloud, which can help organizations with stricter security, compliance, or infrastructure ownership requirements.
- ✓Database Traffic Control is presented as a way to apply resource budgets to Postgres query traffic, addressing operational risk from expensive or noisy workloads.
- ✓Positioning is focused on production cloud databases rather than generic developer convenience, making it suitable for teams that care deeply about database reliability and scale.
Cons
- ✗PlanetScale no longer offers a free Developer or Hobby plan, so even small projects need to start on a paid Base plan.
- ✗PlanetScale appears database-focused, so teams looking for a full backend platform with built-in auth, storage, and application services may need additional tools.
- ✗Vitess and horizontal sharding can introduce architectural complexity for teams that are used to simple single-instance relational databases.
- ✗Bring-your-own-cloud and managed deployment options may be better suited to mature teams than small projects that want the simplest possible setup.
- ✗Feature availability differs by engine, with Data Branching listed for Vitess and Database Traffic Control listed for Postgres, so teams need to validate that their preferred engine supports the exact workflow they want.
Kernel - Pros & Cons
Pros
- ✓Eliminates the six-month infra project of running a production headless-Chrome pool
- ✓Works with existing Playwright / Puppeteer code — no SDK lock-in
- ✓Captcha + residential proxy handling meaningfully improves scraping success rates
- ✓Replay UI is a huge productivity win for debugging agent trajectories
- ✓Free hobby tier makes prototyping cheap
Cons
- ✗Usage-based pricing scales with browser-minutes — long-running research agents can get expensive fast
- ✗Managed service (no self-host) — regulated customers may need to wait for VPC deploy
- ✗Newer than Browserbase and Steel; smaller community for Stack Overflow-style questions
- ✗Captcha solving still probabilistic — some highly protected targets will fail
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