Federated queries, one window.
HTTP statement connections with catalog, schema, and table browsing, forward-only paging and cancellation, EXPLAIN, and import/export - across every catalog your coordinator can reach.
Trino · HTTP · catalogs
The plan Mongrel would build for your query.
Click any stage below to see rows, CPU, and what Mongrel would suggest. Same distributed-plan view you get inside the workbench.
// ScanFilter · iceberg.analytics.events
Scans all 412 ds partitions and applies event_type = 'purchase' as a residual filter. 2.1B rows read, 388s of CPU. This is the bottleneck.
-- trino-coordinator · catalogs: iceberg, mysql SELECT a.account_name, SUM(e.amount) AS total FROM iceberg.analytics.events e JOIN mysql.crm.accounts a ON a.account_id = e.account_id WHERE e.event_type = 'purchase' GROUP BY a.account_name ORDER BY total DESC LIMIT 20; -- 6m 42s · 412 ds partitions, 2.1B rows scanned -- ✓ Proposal: prune the ds partition before the join WHERE e.ds >= DATE '2026-07-01' AND e.event_type = 'purchase'
What Mongrel ships for Trino.
Catalog browser
Drill catalog, schema, and table across every connector your coordinator exposes - Hive, Iceberg, Delta Lake, MySQL, PostgreSQL.
Federated SQL editor
One editor for cross-catalog queries. Dialect-aware completion and catalog.schema.table resolution across connectors.
EXPLAIN & stage stats
Run EXPLAIN logical or distributed. Walk fragments, exchanges, and operators with row counts and CPU per stage.
Forward-only paging
Stream millions of rows through nextUri paging without loading the result set. Memory stays flat on the longest scans.
Query cancellation
Kill any running statement from the grid - Mongrel issues the DELETE to the coordinator and the workers unwind cleanly.
TLS, auth & SSH
HTTPS with verified certificates, a custom CA, or mutual TLS. HTTP Basic passwords over HTTPS only, with SSH tunneling brokered by Mongrel.
Table stats & metadata
SHOW STATS and column metadata at a glance. See the row counts and data sizes behind a table before you run a predicate against it.
AI explain & rewrite
Paste a query and an EXPLAIN. The assistant proposes partition predicates, join reordering, and connector pushdowns.
Import, export, copy
Export result sets to CSV, JSON, JSON Lines, or SQL INSERT statements. Import CSV or JSON straight into connector tables.