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Comparison · Infra & APIs
BigQuery vs PlanetScale
A side-by-side editorial comparison of BigQuery and PlanetScale — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
BigQuery vs PlanetScale: at a glance
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 PlanetScale?
PlanetScale is building out Postgres while making every control reachable without the dashboard.
The Postgres line carries the new capability: vectorscale extension support, storage configurable at database creation, out-of-memory alerts by both email and webhook, a customisable log line prefix, a Discovery Tool for evaluating existing databases, and updated pricing for private connection traffic. Database Traffic Control introduced resource budgets and has since gained warning thresholds and CLI management. The surface work is constant — API endpoints for backup policies, maintenance schedules, schema recommendations, deploy-request storage checks and invoice status, a Terraform provider at v1, and an Insights-only MCP server.
BigQuery vs PlanetScale: 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.
PlanetScale
0.0INFRA · APISDEVOPS
PlanetScale is building out Postgres while making every control reachable without the dashboard.
◆ Current state
The Postgres line carries the new capability: vectorscale extension support, storage configurable at database creation, out-of-memory alerts by both email and webhook, a customisable log line prefix, a Discovery Tool for evaluating existing databases, and updated pricing for private connection traffic. Database Traffic Control introduced resource budgets and has since gained warning thresholds and CLI management. The surface work is constant — API endpoints for backup policies, maintenance schedules, schema recommendations, deploy-request storage checks and invoice status, a Terraform provider at v1, and an Insights-only MCP server.
◆ Where it's heading
PlanetScale is doing two things at once: closing the gap between its Postgres offering and its MySQL heritage, and making every operation scriptable. The API, Terraform and MCP work share a single goal — nothing should require the dashboard — and the schema-recommendations feature landing simultaneously as a REST endpoint and an MCP tool is the clearest statement of it. Traffic Control is the exception, launched as a named product surface and then immediately given the same CLI and threshold treatment.
◆ Prediction
Expect the remaining Postgres parity items and more MCP tools mirroring existing REST endpoints, following the schema-recommendations pattern where both arrived together.
Alternatives to BigQuery and PlanetScale
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 PlanetScale.
Lovable
Lovable is making generated apps connector-rich and enterprise-shippable at the same time.
Buildkite
Buildkite is rebuilding CI so an agent can act on a failure before the job ends.
Retool
Retool is giving its app-building agent the workflow a developer would expect.
Spacelift
Spacelift's AI stopped explaining infrastructure and started deploying it.
SigNoz
SigNoz rebuilt its dashboards for agents to drive, and is now pruning the API surface behind them.
See all BigQuery alternatives → · See all PlanetScale alternatives →
Recent activity from BigQuery and PlanetScale
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo 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
- 3mo agoPlanetScaleQuery Insights negated search terms
- 3mo agoPlanetScaleNew GCP region: Eemshaven, Netherlands
- 3mo agoPlanetScaleIntroducing Database Traffic Control™: resource budgets for your Postgres query traffic.Learn more ⚡
- 3mo agoPlanetScaleConfigure Postgres storage at database creation
- 3mo agoPlanetScaleSign-up page fragment (no release content)
- 4mo agoPlanetScaleInsights-only MCP server
Frequently asked questions
What is the difference between BigQuery and PlanetScale?
Both compete on the same themes — mcp — within Infra & APIs. BigQuery and PlanetScale are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is BigQuery better than PlanetScale?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BigQuery and PlanetScale are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 PlanetScale?
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.