Best Serverless SQL database

Combined ranking

1. 1
   Neonneon.tech ↗—20 pts

   GPT #1Claude #1Gemini #1Grok #1

   Best overall for most developers: full PostgreSQL compatibility, fast scale-to-zero, responsive autoscaling, pooled connections, branching, point-in-time restore, broad extension support, and strong usage-based value.

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   GPT Best overall for most developers: full PostgreSQL compatibility, fast scale-to-zero, responsive autoscaling, pooled connections, branching, point-in-time restore, broad extension support, and strong usage-based value.

   Claude True serverless Postgres done right — scale-to-zero with fast cold starts, storage/compute separation, and instant copy-on-write branching that fits CI and preview-environment workflows better than anything else; full Postgres compatibility means no dialect tax, and the Databricks acquisition removed the "will the startup survive" risk while keeping generous free-tier economics for the typical app developer.

   Gemini Pure PostgreSQL wire compatibility with separated storage and compute, sub-second scale-to-zero, and instant copy-on-write database branching for modern dev workflows; assumes Postgres ecosystem compatibility and developer productivity are top priorities for typical practitioners.

   Grok Leading serverless Postgres with true scale-to-zero compute (ideal for spiky/variable workloads and dev costs near zero), instant Copy-on-Write branching for PR/preview environments that transformed CI/CD for many teams, full Postgres compatibility with extensions, strong Vercel/edge integration, generous free tier, and Databricks backing for stability without lock-in; assumptions: most practitioners prioritize Postgres ecosystem and dev velocity over raw MySQL sharding.

   Where it falls short

   per GPT Scale-from-zero latency and consumption pricing make it less suitable for latency-critical, continuously busy workloads needing predictable costs.

   per Claude Not for sustained heavy OLTP at large scale — always-on high-throughput workloads price and perform better on provisioned Postgres (RDS, self-hosted), and some Postgres extensions are unavailable.

   per Gemini Single-node compute scaling limits make it unsuitable for globally distributed, multi-region write workloads requiring horizontal multi-master consensus.

   per Grok Newer ecosystem maturity and potential connection pooling/observability tweaks needed for very high-concurrency prod compared to battle-tested hyperscalers; not for teams locked into MySQL or needing extreme horizontal sharding today.

2. 2
   TTurso—11 pts

   GPT #3Claude #3Gemini #3Grok #4

   Exceptional value for SQLite-compatible, edge, local-first, per-tenant, and agent workloads, with inexpensive row-based pricing, large database counts, embedded deployment, synchronization, and extremely fast local reads.

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   GPT Exceptional value for SQLite-compatible, edge, local-first, per-tenant, and agent workloads, with inexpensive row-based pricing, large database counts, embedded deployment, synchronization, and extremely fast local reads.

   Claude SQLite-based with a genuinely different value proposition — thousands to millions of cheap databases enables per-tenant/per-user isolation architectures that Postgres-based rivals can't price competitively; embedded replicas give microsecond local reads, and the libSQL foundation is open source.

   Gemini Edge-native libSQL architecture offering microsecond local/edge query latency, sub-10ms cold starts, and cost-effective multi-tenant database branching for micro-databases.

   Grok libSQL (SQLite fork) edge-distributed for unmatched low-latency reads (data near users/functions), file-like simplicity, unlimited DBs for multi-tenant/agent patterns, and excellent free tier/storage; shines for serverless/edge apps where local-like speed trumps complex SQL.

   Where it falls short

   per GPT Not for applications requiring PostgreSQL’s ecosystem, rich SQL surface, or conventional high-throughput centralized write workloads.

   per Claude SQLite semantics limit it — weak concurrent-write throughput per database and no rich Postgres feature set (extensions, advanced types), so it's wrong for a single large relational workload with complex queries.

   per Gemini SQLite-derived architecture is limited under heavy concurrent write loads, complex analytical queries, and large monolithic enterprise backend patterns.

   per Grok SQLite limitations (no heavy Postgres extensions, concurrency constraints for writes); not for complex transactional/relational workloads needing full SQL power.

3. 3
   Amazon Aurora Serverlessamazon.com ↗—8 pts

   GPT #4Claude #2Gemini #4Grok —

   Since gaining genuine scale-to-zero, it's the strongest choice when the workload already lives on AWS — production-grade durability, fine-grained ACU scaling, both Postgres and MySQL engines, and enterprise features (Global Database, IAM auth, VPC integration) no independent vendor matches.

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   Claude Since gaining genuine scale-to-zero, it's the strongest choice when the workload already lives on AWS — production-grade durability, fine-grained ACU scaling, both Postgres and MySQL engines, and enterprise features (Global Database, IAM auth, VPC integration) no independent vendor matches.

   GPT The strongest enterprise-oriented option, combining Aurora PostgreSQL or MySQL compatibility, mature AWS operations, Multi-AZ availability, replicas, granular scaling, and supported scale-to-zero on current engine versions.

   Gemini Enterprise-grade PostgreSQL and MySQL engine performance with instantaneous fractional ACU auto-scaling, deep AWS security/VPC integration, and robust high availability.

   Where it falls short

   per GPT AWS complexity and layered capacity, storage, I/O, proxy, and transfer charges weaken its value for typical small teams.

   per Claude Cost floor and complexity are high for small projects — ACU pricing punishes spiky hobby workloads that Neon serves nearly free, and cold starts from zero are slower; it's for teams already committed to AWS, not indie developers.

   per Gemini Does not scale to zero ACUs (retains a minimum 0.5 ACU baseline cost), lacks instant schema branching, and carries steep pricing outside standard AWS enterprise usage.

4. 4
   CockroachDBcockroachlabs.com ↗—7 pts

   GPT #2Claude #5Gemini #5Grok #5

   Best serverless distributed SQL option: automatic scaling to zero, strong consistency, multi-region resilience, PostgreSQL-wire compatibility, generous free allowance, and spend limits; a near-tie with Neon when geographic fault tolerance matters more than PostgreSQL fidelity.

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   GPT Best serverless distributed SQL option: automatic scaling to zero, strong consistency, multi-region resilience, PostgreSQL-wire compatibility, generous free allowance, and spend limits; a near-tie with Neon when geographic fault tolerance matters more than PostgreSQL fidelity.

   Claude The serverless tier offers distributed SQL with automatic scaling, consumption-based pricing, and survivability guarantees (multi-region resilience) that none of the single-writer options above provide — the right pick when a small team needs Postgres-wire-compatible SQL that can grow into true horizontal scale without a migration.

   Gemini Fully managed distributed SQL providing serializable ACID transactions, automatic scale-to-zero consumption, and multi-region resilience with PostgreSQL dialect support.

   Grok Distributed SQL with Postgres wire compatibility, strong multi-region/high-availability, horizontal scaling, and serverless option that handles global consistency well for resilient production apps.

   Where it falls short

   per GPT CockroachDB is not fully PostgreSQL-compatible, and distributed transactions plus request-unit billing add complexity.

   per Claude Postgres compatibility is wire-level, not complete — missing extensions and some feature gaps bite ORMs and existing apps, and latency per query is higher than single-node engines, so it's overkill for the typical single-region CRUD app.

   per Gemini Distributed Raft consensus introduces higher single-region latency compared to traditional single-leader Postgres, alongside minor dialect compatibility gaps for advanced Postgres extensions.

   per Grok Higher baseline costs and complexity for simple/variable workloads compared to Neon/Turso; steeper learning for non-distributed needs.

5. 5
   PlanetScaleplanetscale.com ↗—7 pts

   GPT —Claude —Gemini #2Grok #3

   Industry-leading MySQL schema management with non-blocking DDL migrations, branch workflows, and battle-tested Vitess horizontal scaling capabilities; near-tied with Neon for core developer experience within MySQL ecosystems.

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   Gemini Industry-leading MySQL schema management with non-blocking DDL migrations, branch workflows, and battle-tested Vitess horizontal scaling capabilities; near-tied with Neon for core developer experience within MySQL ecosystems.

   Grok Vitess-powered MySQL (plus Postgres option) excels at non-blocking schema changes, safe scaling for high-traffic apps, and Git-like branching/deploy requests; proven at massive scale (YouTube heritage) with strong operational reliability for production MySQL workloads.

   Where it falls short

   per Gemini Lack of true scale-to-zero pricing tiers imposes baseline idle costs, making it poor value for low-traffic applications or ephemeral dev environments.

   per Grok Pricing shifts (hobby tier changes) and less aggressive scale-to-zero; schema-only or backup-based branching in some modes; not for Postgres purists or edge-latency-first use cases.

6. 6
   Supabasesupabase.com ↗—4 pts

   GPT —Claude —Gemini —Grok #2

   Postgres base plus integrated auth, storage, realtime, edge functions, and vector tools in one open-source platform that delivers massive time-to-value for full-stack/MVP builders; excellent free tier, self-hosting option, and strong community adoption as Firebase alternative; concrete strengths in bundled DX for typical web/app devs.

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   Grok Postgres base plus integrated auth, storage, realtime, edge functions, and vector tools in one open-source platform that delivers massive time-to-value for full-stack/MVP builders; excellent free tier, self-hosting option, and strong community adoption as Firebase alternative; concrete strengths in bundled DX for typical web/app devs.

   Where it falls short

   per Grok Less pure serverless scaling (no full scale-to-zero like Neon) and can feel heavier if you only need raw DB; not ideal for teams wanting minimal surface area or avoiding platform lock-in.

7. 7
   CCloudflare D1—3 pts

   GPT #5Claude #4Gemini —Grok —

   Best-value serverless SQL for apps already on Workers — zero-config, read replication, generous free tier, and tight integration with the Workers/Pages ecosystem makes it the lowest-friction path from edge function to persistent SQL; pricing is per-request/storage with no idle cost at all.

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   Claude Best-value serverless SQL for apps already on Workers — zero-config, read replication, generous free tier, and tight integration with the Workers/Pages ecosystem makes it the lowest-friction path from edge function to persistent SQL; pricing is per-request/storage with no idle cost at all.

   GPT Excellent for Workers-native applications: genuinely scale-to-zero SQLite, remarkably generous included usage, no database egress charges, global read replicas, and almost no infrastructure management.

   Where it falls short

   per GPT Cloudflare coupling, SQLite constraints, a single write primary, and database-size and transaction limits rule it out for demanding general-purpose systems.

   per Claude Only compelling inside Cloudflare's ecosystem — 10GB per-database cap, SQLite dialect, and awkward access from non-Workers runtimes make it a poor standalone database choice; near-tie with Turso, which wins on multi-DB tooling outside Cloudflare.

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Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled weekly