Provisa / vs Denodo
Same category. Different center of gravity.
Denodo and Provisa agree on the premise: unified semantics and governed access over distributed data, without duplicating it. They differ on how you get in, what runs the query, and how small the smallest useful deployment is.
Where they agree
Both are data virtualization rather than another warehouse. Both put a semantic layer over heterogeneous sources, govern access centrally, and optimize queries so that leaving data in place doesn't mean paying for it in latency. If you are evaluating Denodo, you have already accepted the argument Provisa makes.
Where they differ
| Denodo | Provisa | |
|---|---|---|
| Query languages | SQL, with REST and GraphQL publication | GraphQL, SQL, and Cypher as peers over one schema — Cypher and graph traversal are first-class, not published views |
| Ways in | JDBC/ODBC, REST, OData, GraphQL | pgwire, Bolt, Arrow Flight, gRPC, JDBC, REST, WebSocket, Airport, and MCP |
| Execution | Its own optimizer and execution engine | The engine is yours to choose — Trino, DuckDB, ClickHouse, Postgres, Snowflake, Databricks, BigQuery, or the embedded engine |
| Graph and RDF sources | Available as sources | First-class in the model — Neo4j and SPARQL participate in the same relationship registry and traversals |
| AI access | Platform AI features | An MCP server where the OAuth token maps to a role, so agents get the same six governance layers and no bypass |
| Smallest deployment | Platform install or managed cloud | pip install "provisa[embedded]" — one wheel, no Docker, no JVM, no root |
| Model portability | Platform-native modeling | Declarative config in git, promoted as a diff; the compiled SQL is yours to read and export |
The evaluation that separates them
Ask what happens on a Tuesday afternoon. Can an analyst point psql at it and get a governed answer? Can a developer query the same model in GraphQL without a publication step? Can an agent connect and inherit the analyst's policy rather than a service account's? Can you run the whole thing on a laptop to try something, and in an airgap without mirroring a container registry?
Those are the questions Provisa is built to answer yes to. On the classic enterprise virtualization checklist — breadth of connectors, optimizer maturity, a support organization with two decades behind it — Denodo is the incumbent, and that deserves real weight in your evaluation.