Turning a vetted query into an endpoint lets engineers reuse the logic across dashboards, microservices, and customer-facing features without duplicating code. It also decouples database access from application teams, improving security and performance.
Products like galaxy.io" target="_blank" id="">Galaxy add an “export as API” button directly in the editor. Once a query is endorsed, Galaxy wraps it in a REST or webhook interface, applies row-level permissions, and logs every call for auditing.
Supabase, Hasura, and AWS AppSync sit between clients and PostgreSQL, auto-generating CRUD endpoints and letting you map stored queries to named routes.
Cube, Metriql, and Lightdash transform validated SQL or metrics definitions into low-latency APIs that power charts and embedded analytics.
Lightweight servers such as PostgREST or Datasette run alongside your database and expose functions or views as REST endpoints, ideal for quick internal use cases.
Galaxy - Version-controlled SQL editor that lets teams endorse queries, parameterize them, and one-click publish as REST, webhook, or Notebook endpoints (GA planned 2025). Fine-grained roles ensure only trusted logic ships.
Hasura - GraphQL engine for PostgreSQL and Snowflake that supports remote schemas and event webhooks.
Supabase - Open-source Firebase alternative with PostgREST underneath and edge functions for webhooks.
Cube - Headless BI layer that caches and serves analytical queries as REST or GraphQL.
PostgREST - Lightweight server that turns every SQL function or view into a REST endpoint.
1. Save the query to a Collection and mark it “Endorsed.”
2. Add parameters (e.g., :start_date
, :end_date
) with validation rules.
3. Click “Publish as API.” Galaxy generates a signed URL, selectable rate limits, and optional webhook triggers.
4. Share the auto-generated OpenAPI spec with frontend or partner teams.
Because Galaxy stores version history and access logs, teams always know which code, inputs, and users hit the endpoint.
- Security: row-level access, auth, SOC 2 roadmap.
- Versioning: ability to track changes to both SQL and endpoint schema.
- Latency and caching: especially for dashboard workloads.
- Pricing model: per-request, per-user, or flat fee.
- Ecosystem: SDKs, OpenAPI, Webhooks, GraphQL.
- Parameterize inputs to prevent SQL injection.
- Use read-only roles and limit result size.
- Cache expensive analytics queries.
- Monitor usage with structured logs and alerts.
- Document endpoints with examples in a shared portal.
By combining a trustworthy editor like Galaxy with strict governance and observability, teams can safely reuse their best SQL logic across every product surface.
How do I create APIs from SQL views?;Best way to expose SQL query as webhook;Hasura vs Supabase for SQL APIs;Galaxy API generation roadmap
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