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Comparison · Infra & APIs
BigQuery vs Depot
A side-by-side editorial comparison of BigQuery and Depot — release velocity, themes, recent moves, and the top alternatives to consider.
BigQuery vs Depot: at a glance
| Feature | BigQuery | Depot |
|---|---|---|
| Sector | Infra & APIs, Analytics | Infra & APIs |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | data-warehouse, mcp, managed-ai, governance | ci-cd, build-acceleration, test-analytics, source-control |
| Last editorial update | 6d ago | 1d ago |
| Website | Visit → | — |
What is BigQuery?
BigQuery is making itself agent-callable and pulling inference inside the SQL boundary.
Two GA milestones define the current position: the BigQuery MCP server, and the managed AI functions AI.IF, AI.SCORE and AI.CLASSIFY that run Gemini from inside a query. Alongside them, BigQuery Graph entered preview, and a steady GA cadence continues across sharing listings, materialized views over CDC tables, Snowflake transfers, code-asset folders and Dataform's strict act-as enforcement.
What is Depot?
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.
BigQuery vs Depot: editorial side-by-side
BigQuery
0.0INFRA · APISANALYTICS
BigQuery is making itself agent-callable and pulling inference inside the SQL boundary.
◆ Current state
Two GA milestones define the current position: the BigQuery MCP server, and the managed AI functions AI.IF, AI.SCORE and AI.CLASSIFY that run Gemini from inside a query. Alongside them, BigQuery Graph entered preview, and a steady GA cadence continues across sharing listings, materialized views over CDC tables, Snowflake transfers, code-asset folders and Dataform's strict act-as enforcement.
◆ Where it's heading
The warehouse is being repositioned as something agents call and models run inside, not a destination that pipelines feed. MCP handles the calling side; the AI functions handle the execution side; strict act-as and folder-level access handle the governance the first two make urgent.
◆ Prediction
Expect the governance layer to develop fastest from here — finer control over what an agent can query and what inference it may run — since that is the constraint GA on both fronts now exposes.
Depot
6.3INFRA · APIS
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
◆ Current state
Depot has spent the last month building outward from build acceleration. Test results went generally available with JUnit ingest, org-wide flaky and slow test analytics, and timing-based shard balancing. Underneath that, Depot Metal moved CI and Sandboxes onto bare-metal microVMs the company controls end to end, and Depot Code entered private beta as a diskless git server backed by blob storage. The smaller releases fill in the surrounding surface: Tailscale access to private networks, GitLab OIDC, Datadog CI Visibility, stacked pull requests, and macOS 26 runners on M4.
◆ Where it's heading
Each layer Depot adds is one it previously rented — compute from cloud runners, source hosting from GitHub, test insight from nothing at all. Owning the storage and hypervisor tiers is what makes the performance claims possible, and owning test data is what turns a build accelerator into something that reports on the pipeline rather than just running it faster. The pattern suggests Depot is positioning as the full CI platform, with speed as the entry point rather than the product.
◆ Prediction
Depot Code should move from private to open beta with tighter Depot CI integration, since a git server the company controls is what makes source-aware caching and test selection possible. Expect the test analytics to grow toward selecting which tests to run, not only how to split them.
Alternatives to BigQuery and Depot
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 BigQuery or Depot.
Kubernetes
The blog has become a teaching channel, with the real releases arriving as Gateway API and deprecation notices.
ToolJet
ToolJet runs two release trains at once, and neither has changed direction in months
Honeycomb
Honeycomb bets that the agent, not the engineer, should notice the anomaly first
Jenkins
Jenkins is shrinking its own war file and rebuilding its UI, one weekly release at a time
GitHub
Copilot's model roster churns weekly while GitHub quietly rewires policy and billing plumbing
See all BigQuery alternatives → · See all Depot alternatives →
Recent activity from BigQuery and Depot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoDepotmacOS 26 is now the default macOS version for GitHub Actions runners
- 9d agoDepotDepot CI now supports native GitHub stacked pull requests
- 14d agoDepotTest results are now generally available ⚡
- 22d agoDepotAI analysis available for all Depot CI workflows and jobs
- 28d agoDepotSplit CI test suites with historical timing data (beta)
- 1mo agoDepotDepot CI now supports Tailscale
- 3mo agoBigQueryBigQuery May 2026 - Multi-region sharing listings GA and Data Transfer Service updates
- 3mo agoBigQueryMFA required for new Google Ads data transfers
- 3mo agoBigQueryGoogle Ads data retention policy change affecting BigQuery Data Transfer Service
- 3mo agoBigQueryBigQuery multi-region sharing listings go GA ⚡
- 3mo agoBigQueryBigQuery release notes — May 06, 2026 — Feature You can configure BigQuery sharing listings for multiple regions, which
- 3mo agoBigQueryBigQuery Data Transfer Service connectors Google Ads data retention policy change
Frequently asked questions
What is the difference between BigQuery and Depot?
They serve adjacent needs but don't currently overlap on shipped themes. Depot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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.
Is BigQuery better than Depot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Depot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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.
What are the best alternatives to BigQuery?
Top BigQuery alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BigQuery alternatives" section above for the current picks, or visit /alternatives/bigquery for the full list with editorial commentary on each.
What are the best alternatives to Depot?
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.