MongoDB Atlas vs Turso

MongoDB Atlas is the managed cloud version of MongoDB, the most popular document database. You get a free shared cluster with 512 MB of storage that stays running 24/7, no pausing for inactivity like some competitors. Documents store as JSON-like objects, so your data structure can evolve without formal migrations. This makes it fast to prototype with.

The tradeoff is well-documented: document databases trade query flexibility for schema flexibility. As your app grows, you may find yourself duplicating data across collections or writing complex aggregation pipelines that would be simple JOINs in SQL. For solo founders, MongoDB works best when your data is naturally document-shaped (CMS content, user profiles, event logs). If your data has lots of relationships, Postgres on Supabase or Neon will save you headaches down the road.

Turso takes SQLite and makes it work as a cloud database. Its design goal is many small databases rather than one big one: you can give every user, workspace or AI agent its own isolated database, and idle ones cost only storage. Embedded replication lets the same database run inside your app or on a user’s device, reading and writing locally and syncing with the cloud. Turso no longer offers edge replicas in multiple regions to new users.

The free tier gives you 5 GB of storage, 100 databases, 500 million row reads and 10 million row writes a month. Paid plans start with Developer at $4.99 a month billed yearly ($5.99 monthly) and Scaler at $24.92 billed yearly ($29 monthly). On 2 October 2026 Turso announced that it is being acquired by Supabase. It says the service keeps running as before and the open-source engine stays in active development; the announcement does not mention plan or price changes. If your app is read-heavy or naturally split per tenant, Turso is fast and cheap. If you need complex relational queries or heavy write throughput, Postgres on Neon or Supabase is a better foundation.