Neon vs Turso: Serverless Postgres vs Edge SQLite

Neon and Turso are both serverless databases that have gained significant adoption among developers building on edge and serverless platforms, but they solve different problems. Neon provides serverless PostgreSQL by separating storage from compute, enabling instant branching, autoscaling to zero, and fast database provisioning. Turso provides a globally distributed database built on libSQL, a fork of SQLite, with native edge distribution and embedded replica support.

In May 2025, Databricks acquired Neon for approximately $1 billion, integrating Neon as the PostgreSQL layer for Databricks' agentic AI platform. Following the acquisition, Neon reduced compute costs by 15-25% and doubled the free plan's compute allowance from 50 to 100 compute-unit hours per month. Turso remains independent and in January 2026 deprecated scale-to-zero for new databases on AWS, moving to an always-on model that eliminates cold starts at the cost of a small persistent compute charge. Both platforms have free tiers; Turso's free tier is more generous for multi-database workloads.

Neon runs standard PostgreSQL, meaning your application can use any Postgres feature or extension available on the version you select. pgvector for AI vector search, PostGIS for geospatial queries, full-text search, window functions, JSONB, and the full extension ecosystem are all supported. Any ORM or query builder that targets PostgreSQL works with Neon without modification. This makes Neon a drop-in replacement for any existing PostgreSQL deployment.

Turso runs libSQL, a community fork of SQLite that extends it with network access, replication, and a server mode. SQL compatibility is high for standard queries but SQLite does not support all PostgreSQL features. Window functions, common table expressions, and most DML work as expected. However, extensions like pgvector, PostGIS, and third-party Postgres extensions are not available. ORMs must target SQLite rather than PostgreSQL. Drizzle ORM has first-class libSQL support; Prisma supports it via a preview connector. Teams already running Postgres, or those needing extensions, cannot migrate to Turso without data model changes.

Neon's branching feature creates instant copy-on-write branches of your database, enabling development workflows where each pull request gets its own database branch. Migrations can be tested against a branch before merging to production. This prevents bad schema changes from reaching live data and mirrors the Git workflow that developers already use for code. Neon's branches share the storage of the parent database and only store incremental changes, so they are cheap and fast to create.

The Neon CLI and GitHub Actions integration make it straightforward to create a branch per PR, run tests against it, and tear it down when the PR closes. This workflow is particularly valuable for teams with multiple developers making concurrent schema changes. Turso does not offer branching in the same sense. Its multi-database model means each tenant or environment gets a separate database rather than a branch of a shared database. For CI/CD workflows involving schema migration testing, Neon's branching is a meaningful advantage with no equivalent in the Turso model.

Turso's architecture is fundamentally edge-first. When you create a database on Turso, you choose a primary region and can add replicas in over 30 additional locations globally. Reads from any edge replica return data with local latency, typically under 5 ms from a nearby region compared to 50-200 ms for a round trip to a centralised database. Writes still go to the primary region and propagate to replicas asynchronously.

Turso's embedded replicas take this further. An embedded replica is a local SQLite file that syncs with the remote Turso primary database. Reads from the embedded replica have microsecond latency because they query a local file with no network round trip at all. This is particularly useful for edge compute platforms like Cloudflare Workers or Deno Deploy where the compute and the database can run in the same location. As of 2026, embedded replicas are free to use on all Turso plans. Neon operates from a single primary region with optional read replicas, which is sufficient for most applications but does not offer the same global read latency as Turso's distributed model.

Neon's free tier includes 0.5 GB of storage across up to 20 projects, 100 compute-unit hours per month (doubled post-Databricks acquisition from 50), and autoscaling up to 2 compute units. Storage costs $0.35 per GB per month following Databricks-driven price reductions from the previous $1.75 per GB. The Launch plan has a $5 per month minimum and charges $0.106 per compute-unit hour. The Scale plan has a $5 per month minimum and charges $0.222 per compute-unit hour with SOC 2 and HIPAA eligibility.

Turso's free tier is more generous for multi-database workloads: 5 GB storage, 100 databases, 500 million row reads, and 10 million row writes per month at no cost. The Developer plan at $4.99 per month provides unlimited databases with 9 GB storage and 2.5 billion row reads. The Scaler plan at $24.92 per month provides 24 GB storage and 100 billion row reads per month. From January 2026, new Turso databases on AWS use always-on compute without scale-to-zero, improving latency predictability while adding a small baseline compute cost. For applications running a single PostgreSQL database, Neon's free tier is sufficient for early development. For multi-tenant applications running hundreds of databases, Turso's free tier offers significantly more room to grow.

For most applications building on a standard web or API stack, Neon is the safer choice. Full PostgreSQL compatibility means your existing tooling, ORMs, and knowledge transfer directly. The Databricks acquisition provides infrastructure cost advantages and long-term product stability. Database branching for CI/CD workflows is a genuine productivity advantage that Turso does not match. pgvector support makes Neon well-suited for AI-powered applications that need vector search at the database layer.

Choose Turso when edge latency matters more than SQL feature completeness, when you are building a multi-tenant SaaS product where each customer gets an isolated database, or when you are deploying on Cloudflare Workers or Deno Deploy and want embedded replicas for sub-millisecond read latency. Turso's pricing model is also well-suited to hobby projects that run many small databases simultaneously, which Neon's per-project model handles less efficiently. The two platforms rarely compete for exactly the same workload; understanding which architectural needs your application has will make the choice clear.