Serverless & Developer Databases Arena
Serverless & Developer Databases — procurement report
ProductArena · rankings as of 2026-09-16 · evidence as of 2026-09-16 · 5 products · 56 judged requirements · 280 judged cells
Methodology: Every product is judged against a shared taxonomy of user stories using cited evidence — hands-on probes > repository code > independent community sources > vendor claims — never opinion. Full writeup: https://ultrametric.ai/productarena/methodology
Leaderboard
| # | Product | PA Score | Coverage score | Applicable cells | Confidence |
|---|---|---|---|---|---|
| 1 | ClickHouse | 40.5 | 34.6 | 53/56 | B |
| 2 | Neon | 37.8 | 42.5 | 55/56 | B |
| 3 | Turso | 37.3 | 38.2 | 55/56 | B |
| 4 | PlanetScale | 35.2 | 35.0 | 54/56 | B |
| 5 | CockroachDB | 30.0 | 29.8 | 55/56 | A |
PA Score = agent-readiness blend (see methodology). Coverage score = weighted share of judged requirements met. Confidence = how much of the score rests on tested vs claimed evidence (A–D).
Uncertainty note
The current #1/#2 gap in this arena is not close enough to qualify for the multi-judge uncertainty pass (or the pass has not covered it yet) — no extra caveat applies beyond the per-product confidence grades above.
Buyer checklist (RFP)
The arena's 56 judged user stories as requirements, grouped by theme. Priorities mirror the story weights our scoring uses (3 = must-have, 2 = should-have, 1 = nice-to-have). Interactive version with per-requirement verdicts for the top products: /arena/serverless-databases/checklist
Agent workflows — stories about agent workflows in this arenaAgent workflows
Stories about agent workflows in this arena
- ai-native userMy coding agent can provision a database end to end — create it, fetch the connection string, apply schema, and run queries — through the API, CLI, or MCP without touching the dashboardmust-have
- ai-native userAn agent can run SQL and schema operations through scoped tools that distinguish read-only from destructive actions, so I can safely delegate database workshould-have
- ai-native userCheaply create thousands of isolated databases — one per agent, tenant, or preview — and manage the fleet programmaticallyshould-have
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
- ai-native userPlug MCP servers into this product so it can use their toolsmust-have
- ai-native userConnect an agent via an official MCP servermust-have
- ai-native userDrive the product through a documented public APImust-have
- ai-native userDelegate tasks to a built-in AI assistant inside the productmust-have
- ai-native userPoint an agent at llms.txt or agent-oriented docsshould-have
- ai-native userRun the product headlessly / in CI for automationshould-have
- ai-native userUse an official CLIshould-have
- ai-native userIssue scoped/least-privilege API credentials for an agentshould-have
- ai-native userBuild against official SDKsshould-have
- ai-native userSubscribe to events via webhooksshould-have
- ai-native userGet AI-generated insights and suggestions from my data inside the productshould-have
- ai-native userSet up automations that run autonomously in the backgroundshould-have
- ai-native userOperate the product with natural-language commandsshould-have
- ai-native userExplore an interactive API reference with runnable examplesshould-have
- ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)should-have
- ai-native userRely on versioned APIs with a documented deprecation policyshould-have
- ai-native userTest against a sandbox environment without touching production datanice-to-have
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
- ai-native userDefine rules that trigger actions automatically on eventsmust-have
- ai-native userPerform bulk operations across many items at onceshould-have
- ai-native userSchedule recurring jobs or workflowsshould-have
- ai-native userVersion, review, and roll back my automationsnice-to-have
Branching workflows — stories about branching workflows in this arenaBranching workflows
Stories about branching workflows in this arena
- developerCreate an instant copy-on-write branch of my database — schema and data — to develop and test against production-shaped datamust-have
- platform-engineerCreate and tear down per-pull-request database branches automatically from CI or my deploy platformshould-have
- developerReset a branch from its parent or restore it to an earlier state without rebuilding from a dumpnice-to-have
Connectivity pooling — stories about connectivity pooling in this arenaConnectivity pooling
Stories about connectivity pooling in this arena
- developerQuery over HTTP or WebSockets from serverless and edge functions with an official driver built for short-lived connectionsshould-have
- developerPlace data or replicas in regions close to my users to keep read latency low worldwideshould-have
- platform-engineerA built-in connection pooler handles thousands of concurrent connections without me operating my own pgbouncer or proxyshould-have
Data capabilities — stories about data capabilities in this arenaData capabilities
Stories about data capabilities in this arena
- developerI get real engine compatibility — the Postgres, MySQL, or SQLite dialect and extensions my existing code expects — not a lookalike subsetmust-have
- developerStore embeddings and run vector similarity search natively without adding a separate vector databaseshould-have
- developerRun heavy analytical aggregations over large tables fast enough for dashboards without exporting to a separate warehouseshould-have
Local dev — stories about local dev in this arenaLocal dev
Stories about local dev in this arena
- developerRun the same engine locally and keylessly — no account or cloud dependency — for offline development and CI testsmust-have
- developerThe official CLI covers my daily loop — create, connect, shell into, and inspect databases — without opening the dashboardshould-have
Migrations schema — stories about migrations schema in this arenaMigrations schema
Stories about migrations schema in this arena
- developerShip schema changes safely — online DDL, deploy requests, or branch-and-merge workflows — without locking or breaking productionmust-have
- developerThe database works out of the box with my ORM and framework (Prisma, Drizzle, Django, Rails) with documented guidesshould-have
- developerImport an existing production database with minimal downtime using a documented migration pathnice-to-have
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
- ai-native userExport all of my data in open formats and leavemust-have
- ai-native userSelf-host the core productmust-have
- ai-native userDo everything through the API that I can do in the UIshould-have
- ai-native userRead the product's source under an open licenseshould-have
Operations insights — stories about operations insights in this arenaOperations insights
Stories about operations insights in this arena
- platform-engineerSee slow queries, index recommendations, and performance metrics in a built-in insights viewshould-have
- founderSet spend caps or usage alerts so a runaway query or traffic spike cannot produce a surprise billnice-to-have
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans
Plan structure and value — what each tier costs and what it unlocks
- founderPublished per-unit pricing for compute, storage, and traffic lets me predict my bill before committingmust-have
- founderA genuinely usable free tier lets me run real prototypes before payingshould-have
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
- ai-native userPrevent my data from being used to train AI modelsmust-have
- ai-native userChoose where my data is stored (region/residency)should-have
- ai-native userControl data retention and deletionshould-have
- ai-native userOpt out of telemetry and usage trackingshould-have
Reliability recovery — stories about reliability recovery in this arenaReliability recovery
Stories about reliability recovery in this arena
- platform-engineerRestore or branch the database to any point in time within the retention window to recover from bad writesmust-have
- platform-engineerAdd read replicas and rely on documented high-availability and failover behaviorshould-have
- founderAutomatic backups run on a schedule I can see and configure, and restores are self-serveshould-have
Serverless scale — stories about serverless scale in this arenaServerless scale
Stories about serverless scale in this arena
- founderIdle databases scale to zero so prototypes and side projects cost nothing while the data stays durablemust-have
- developerCreate a ready-to-connect database in seconds through the CLI or API without capacity planningmust-have
- platform-engineerCompute autoscales up and down with load automatically, without manual resizes or downtimeshould-have
Pricing signals
Extracted verbatim from each vendor's own pricing page — never converted, averaged, or derived. Products whose page prints no unit price are recorded as unclear, honestly.
| Product | Headline price | Unit | As of |
|---|---|---|---|
| ClickHouse | pricing unclear — The provided page content contains only marketing/philosophy text about ClickHouse Cloud pricing and no actual dollar figures, rates, or plan prices are printed. | 2026-09-07 | |
| Neon | $0.2 | GB-month | 2026-09-07 |
| Turso | $0.5 | GB-month | 2026-09-07 |
| PlanetScale | $5 | month (entry plan) | 2026-09-07 |
| CockroachDB | $0.18 | compute-hour | 2026-09-07 |
Appendix: recorded probes
Hands-on probe recordings — transcripts/videos a human can replay, the strongest evidence tier. Watch them at https://ultrametric.ai/productarena/proofs
- ClickHouse
clickhouse --version # installed via `curl https://clickhouse.com/ | sh`terminal · recorded 2026-09-06 · exit 0 - ClickHouse
clickhouse local --query "CREATE TABLE arenas ...; INSERT INTO arenas VALUES ...; SELECT concat('PA_PROBE_OK rows=', toString(count()), ...) FROM arenas;"terminal · recorded 2026-09-06 · exit 0 - ClickHouse
printf '<jsonrpc initialize>' | uvx mcp-clickhouse # stdio handshake, no ClickHouse credentialsterminal · recorded 2026-09-06 · exit 0 - CockroachDB
cockroach version # installed via `brew install cockroachdb/tap/cockroach`terminal · recorded 2026-09-06 · exit 0 - CockroachDB
cockroach demo --no-example-database --insecure=true -e "CREATE TABLE arenas ...; INSERT ...; SELECT 'ROUNDTRIP=' || count(*)::STRING FROM arenas;"terminal · recorded 2026-09-06 · exit 0 - CockroachDB
curl -si -X POST https://cockroachlabs.cloud/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'terminal · recorded 2026-09-06 · exit 0 - Neon
npx -y neon@latest --versionterminal · recorded 2026-09-06 · exit 0 - Neon
curl -si -X POST https://mcp.neon.tech/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'terminal · recorded 2026-09-06 · exit 0 - PlanetScale
pscale --skillterminal · recorded 2026-09-06 · exit 0 - PlanetScale
pscale --version # installed via `brew install planetscale/tap/pscale`terminal · recorded 2026-09-06 · exit 0 - PlanetScale
curl -si -X POST https://mcp.pscale.dev/mcp/planetscale -H 'Content-Type: application/json' -d '<jsonrpc initialize>'terminal · recorded 2026-09-06 · exit 0 - Turso
turso --version # installed via `curl -sSfL https://get.tur.so/install.sh | bash`terminal · recorded 2026-09-06 · exit 0 - Turso
turso dev --db-file /tmp/pa-turso-probe.db --port 8085 # local libSQL, no account — then CREATE/INSERT/SELECT (6*7) over the Hrana HTTP APIterminal · recorded 2026-09-06 · exit 0 - Turso
curl -si -X POST https://mcp.turso.ai/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'terminal · recorded 2026-09-06 · exit 0
Cite as: ProductArena by Ultrametric Inc, Serverless & Developer Databases arena, rankings as of 2026-09-16 — https://ultrametric.ai/productarena/arena/serverless-databases
License: © 2026 Ultrametric Inc. Brief quotation of individual verdicts, scores, or evidence excerpts is permitted with attribution to "ProductArena by Ultrametric Inc (ultrametric.ai/productarena)", as is use of the data to evaluate, contest, or contribute corrections. Bulk copying, redistribution, or use to build competing datasets requires prior written permission (see DATA-LICENSE in the repository).
No liability: rankings, verdicts, and scores are research outputs derived from the cited evidence at a point in time, provided "as is", without warranties. Ultrametric Inc accepts no responsibility for procurement, purchasing, or other decisions made in reliance on them — verify against the cited evidence before acting (https://ultrametric.ai/productarena/terms).