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If PlanetScale's pricing doesn't fit your budget, consider these cloud infrastructure alternatives:
Supabase review for AI app backends: Postgres, auth, storage, vectors, pricing, pros, cons, and RAG use cases for builders.
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Serverless Postgres with branching, autoscaling, and a native pgvector layer used as a default RAG database for AI apps.
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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.
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