SemanticFed vs Starburst (Trino)
The commercial Apache Trino federation engine. See how SemanticFed's governed data federation platform compares on features, pricing, and the use cases that matter to your team.
What Starburst (Trino) does well
Starburst commercializes Apache Trino, a proven distributed SQL engine for federated queries across lakes and warehouses. It scales to petabytes but lacks a typed semantic layer and uses unpredictable credit-metered pricing.
Company
Starburst (Trino)
Founded
2017
Headquarters
Boston, Massachusetts, USA
Website
https://www.starburst.io
Ideal for
- Large enterprises with data lakehouses (Iceberg/Delta) and multiple warehouses
- Data platform teams that need distributed SQL federation at scale
- Organizations already running Trino OSS that want commercial support
- Teams that can absorb usage-based billing
Feature comparison
Side-by-side across the capabilities that matter for governed data federation.
| Capability | SemanticFed | Starburst (Trino) |
|---|---|---|
| Federated query (in-place, push-down) | Core shipped: cost-aware planner with predicate/projection/aggregation push-down across Postgres + REST sources; broader connector coverage rolling out | No:Trino distributed SQL with connector push-down |
| Typed semantic layer | No:Shipped: models, entities, dimensions, metrics + relationships CRUD with DRAFT→PUBLISHED versioning, now consumed live by the query engine to resolve entity/dimension/metric references | Views/datasets only; relies on dbt/Cube |
| Governance at the edge | Partial: policy model + CRUD shipped; lineage and query-time enforcement pending | No:Column/row filters + audit; no native E2E lineage |
| GraphQL API | Yes:Yes: GraphQL-first governed model API | No:Not offered |
| AI agent surface | No:Shipped (initial): native MCP server exposes the governed model — models, metrics, policies, saved queries — as agent tools; live query results now flow through the shipped engine for Postgres + REST sources | Proprietary AI Agent API |
| Pricing transparency | Yes:Yes: Free → $99 → $399 → $999 → Enterprise | Credit-metered, workload-dependent |
Pricing comparison
How SemanticFed's flat-fee model stacks up against Starburst (Trino).
SemanticFed
- Model
- Flat monthly fee per tier
- Free tier
- 3 sources, 1 model, forever free
- Paid tiers
- Starter $99 → Growth $399 → Business $999 → Enterprise
Starburst (Trino)
- Model
- Usage-based universal compute credits
- Entry point
- Apache Trino OSS free; Galaxy free tier with 3 clusters
- First paid tier
- Per-credit consumption; no fixed tier
- Notes
- Mid-market spend typically $30K–$100K+/yr.
Starburst (Trino) strengths
- Proven petabyte-scale Trino distributed SQL engine
- Apache Trino OSS reduces lock-in risk and builds community
- Galaxy SaaS + Enterprise self-managed + hybrid deployment options
- Strong AI investments: AI Agent, AI Search, AI SQL Functions
- Named enterprise logos in finance, healthcare, retail, telecom
Starburst (Trino) weaknesses
- No first-class typed semantic layer; customers layer dbt/Cube on top
- Unpredictable compute-credit pricing makes budgeting hard
- No native end-to-end lineage
- No open MCP server; AI APIs are proprietary
- No published regional or INR pricing
Why SemanticFed wins
The advantages that matter when you need one governed way to reach every source.
Semantic layer + federation in one platform
Starburst federates SQL but has no versioned metric/dimension model. SemanticFed gives you both.
Flat monthly pricing
Predictable $99–$999 tiers vs. credit-metered bills that grow with every query.
Open MCP agent surface (shipped)
SemanticFed's native MCP server already exposes the governed model to any MCP-compatible agent — open tools, not a proprietary AI API.
GraphQL-first for app developers
A modern API contract that Starburst does not offer.
See why teams choose SemanticFed over Starburst
SemanticFed launches in 2026. Join the waitlist to be the first to query across every source without moving the data.