Comparison
DAX Studio is for query development.
SemanticOps is for governing what AI does with queries.
DAX Studio gives developers a powerful environment for writing and analyzing DAX. SemanticOps governs the queries AI runs on your behalf — adding masking, audit logging, and policy gates.
Different layers
DAX Studio is a tool for developers. SemanticOps governs AI.
DAX Studio is the go-to environment for writing, testing, and profiling DAX queries manually. It is excellent for performance analysis, VertiPaq inspection, and developer-led query development.
SemanticOps governs what happens when an AI assistant or agent executes queries through MCP — adding data masking so sensitive values do not reach AI context, policy gates on which query types are allowed, and audit logging of every query an AI runs.
Capability comparison
Developer queries vs. AI-governed queries
| Capability | DAX Studio | SemanticOps |
|---|---|---|
| DAX query development and testing | ||
| Query performance analysis (Server Timings) | ||
| VertiPaq Analyzer integration | ||
| DAX formatting | ||
| AI-governed DAX query execution (MCP) | ||
| Data masking before AI receives results | ||
| Policy gate on data-returning queries | ||
| Audit logging for AI query activity | ||
| Regression testing | ||
| Rollback and snapshots | ||
| AI lockdown modes | ||
| Impact analysis |
Key distinction
When a developer runs a query, they see the results.
When AI runs a query, those results enter an AI provider's context.
That distinction matters. A developer seeing customer data in DAX Studio is governed by your internal data policies. An AI assistant receiving the same data is subject to additional considerations — the AI provider's terms, your AI usage policy, and the data boundary between your organization and an external service. SemanticOps masks the data before it crosses that boundary.
Keep using DAX Studio. Govern what AI does with queries.
SemanticOps works with any MCP client and does not replace your existing DAX development workflow.