Dash0 SQL is a full-featured SQL editor for querying your observability data directly (logs, spans, and web events) using standard SQL syntax.

When to Use Dash0 SQL

Dash0 SQL is the right tool when the visual Query Builder cannot express what you need:

Cross-signal joins. For example, you can find all root spans that trigger a correlated downstream log by joining two queries on the trace ID, then grouping by service name to count requests.
Complex filtering and grouping. Multi-condition WHERE clauses, HAVING filters, and arbitrary GROUP BY combinations.
Ad-hoc exploration. Run one-off queries to investigate an incident or validate a hypothesis.
Schema discovery. Use SHOW TABLES and DESCRIBE to understand the data that is available before you write a query.

For time-series work, use the Query Builder instead.

Understand Key Concepts

Query. A SQL SELECT statement executed against a Dash0 signal table such as logs, spans, or web_events.
Table. A queryable data source representing a single signal type. Use SHOW TABLES to list all available tables in your environment.
Time window. The time range selected in the time picker, automatically applied to every query as an implicit filter. You do not need to add a timestamp condition manually.
Template. A built-in, ready-to-run query covering a common observability task. Templates are read-only and organized by signal type (Logging, Tracing, Web Events).
Recent query. A query automatically saved to your browser's local storage each time you execute. Dash0 SQL retains your last 20 queries.
Saved view. A named query stored in Dash0 and persisted server-side. Saved views survive browser clears, work across devices, and can be shared with teammates in your organization.