Compare PlanetScale with top alternatives in the cloud infrastructure category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with PlanetScale and offer similar functionality.
Postgres backend platform for AI apps
Supabase review for AI app backends: Postgres, auth, storage, vectors, pricing, pros, cons, and RAG use cases for builders.
Other tools in the cloud infrastructure category that you might want to compare with PlanetScale.
Cloud Infrastructure
AI Agent Store is a free, vendor-neutral directory for discovering, comparing, and evaluating pre-built AI agents across enterprise and independent marketplaces.
Cloud Infrastructure
Open-source AI-data platform that brings AI models directly into databases, enabling AI agents and analytics that query and act on enterprise data using SQL.
Cloud Infrastructure
NVIDIA's cloud platform providing access to powerful GPU infrastructure for AI model training, inference, and high-performance computing workloads.
Cloud Infrastructure
Revolutionary Infrastructure-as-code orchestration platform that manages Terraform, OpenTofu, Pulumi, Ansible, and CloudFormation workflows with policy-as-code, drift detection, and concurrency-based pricing that won't surprise you.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
PlanetScale’s Vitess offering is MySQL-compatible, but teams should review compatibility details before migration because distributed Vitess architectures can affect some database features and schema patterns. PlanetScale also offers Postgres, so the right compatibility review depends on which engine you choose.
For Vitess databases, you create a branch, make schema changes, test them, create a deploy request similar to a pull request, and merge to the production branch. PlanetScale’s current plan documentation lists Data Branching for Vitess and not for Postgres; Postgres development branches are billed separately as new clusters.
PlanetScale positions Vitess for MySQL-compatible horizontal sharding and large-scale database operations. Enterprise options include migration assistance, and buyers planning large migrations should validate engine-specific migration workflow, downtime expectations, and operational support directly with PlanetScale.
PlanetScale is paid and usage-based, not freemium. Single-node Postgres starts at $5/month, Metal starts at $50/month, Base storage includes 10 GB and then bills additional network-attached storage at $0.50 per GB per instance, and high-availability storage is effectively $1.50/GB because it uses three instances.
Yes, PlanetScale supports standard relational database workflows and offers managed database engines rather than a proprietary application runtime. Migration planning should account for the selected engine, Vitess-specific architecture choices such as sharding, and any PlanetScale-specific branching or deployment workflows.
Compare features, test the interface, and see if it fits your workflow.