Drizzle ORM
Drizzle's v1.0 release candidates land a JIT mapper rework, new codecs, and a breaking casing API
A side-by-side editorial comparison of PlanetScale and Depot — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | PlanetScale | Depot |
|---|---|---|
| Sector | Infra & APIs, DevOps | Infra & APIs |
| Velocity score | 4.6 | 7.5 |
| Sparks · 30d | 0 | 1 |
| Top themes | postgres, traffic-control, mcp-server, vitess | ci-cd, container-builds, agent-compute, sandboxes |
| Last editorial update | 1mo ago | 5d ago |
| Website | Visit → | — |
PlanetScale ships Database Traffic Control to govern Postgres query loads — and a read-only MCP server for safe agent access.
Recent PlanetScale releases cluster around three themes: a new resource-governance product called Database Traffic Control (with warning thresholds and CLI management), Postgres Postgres infrastructure work (storage configuration at creation, vectorscale extension support, deploy request storage check API), and AI integration plumbing (an Insights-only MCP server variant). The platform also added a GCP region in Eemshaven, Netherlands.
Depot turns its build-acceleration compute into a metered backend for AI agents.
Depot is shipping fast across two fronts: hardening its CI platform and opening its compute to AI workloads. Recent CI work includes native step retries, durable cache disks, and a generally available API and CLI with full dashboard parity. On the AI front it added SOCI v2 to cut startup time for large CUDA and PyTorch images and launched a Sandbox SDK to run untrusted or agent-generated code in ephemeral, billed sandboxes.
Recent PlanetScale releases cluster around three themes: a new resource-governance product called Database Traffic Control (with warning thresholds and CLI management), Postgres Postgres infrastructure work (storage configuration at creation, vectorscale extension support, deploy request storage check API), and AI integration plumbing (an Insights-only MCP server variant). The platform also added a GCP region in Eemshaven, Netherlands.
PlanetScale's Postgres offering is moving past parity-with-Vitess functionality and into differentiated territory. Database Traffic Control is the standout — query-level resource budgeting addresses a long-standing operational pain point that no managed Postgres provider has framed quite this way. The Insights-only MCP server is a small but telling move: PlanetScale is shipping deliberately scoped agent endpoints rather than just exposing the full API to LLMs. Postgres feature breadth (vectorscale, storage controls) keeps closing the gap with Neon and Supabase.
Expect Database Traffic Control to gain alerting and rollout-staged enforcement in the next quarter, plus deeper integration with Insights so customers can map costly queries directly to budget-violation events. More extensions on Postgres are likely (pgvector enhancements, tuning extensions). The MCP server pattern will probably grow into other scoped variants — schema-editing-only, ops-only — as PlanetScale formalizes how agents touch production databases.
Depot is shipping fast across two fronts: hardening its CI platform and opening its compute to AI workloads. Recent CI work includes native step retries, durable cache disks, and a generally available API and CLI with full dashboard parity. On the AI front it added SOCI v2 to cut startup time for large CUDA and PyTorch images and launched a Sandbox SDK to run untrusted or agent-generated code in ephemeral, billed sandboxes.
Depot is extending from build and CI acceleration toward being a general compute backend for agents. The Sandbox SDK, the agent-friendly GA API, and ML-image startup optimizations point the same way: sell fast, isolated, metered compute that AI tools and pipelines can drive programmatically. The CI improvements keep the core product sticky while the platform broadens.
Expect the Sandbox SDK to move toward general availability with more language and filesystem surface, and continued convergence of CI and sandbox compute under one metered, API-first platform.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either PlanetScale or Depot.
Drizzle's v1.0 release candidates land a JIT mapper rework, new codecs, and a breaking casing API
Warp drops the terminal framing to bet on cloud software factories and agent orchestration
Unleash leans hard into AI-agent governance and self-hosting as its crawled feed fills with thought-leadership.
GitHub spends the week hardening enterprise governance and supply-chain security.
Resend keeps widening from a raw email API into agent-native tooling and audience management.
Very high-cadence sandbox infra building the primitives agents need to run code
See all PlanetScale alternatives → · See all Depot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Depot is currently shipping more aggressively (velocity 7.5 vs 4.6), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Depot is currently shipping more aggressively (velocity 7.5 vs 4.6), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top PlanetScale alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PlanetScale alternatives" section above for the current picks, or visit /alternatives/planetscale for the full list with editorial commentary on each.
Top Depot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Depot alternatives" section above for the current picks, or visit /alternatives/depot for the full list with editorial commentary on each.