Explore tables and how they connect
Browse every database and table, map dependencies between them, then drop into SQL — all without leaving the dashboard.
How your tables feed each other
Materialized views, dictionaries and their source tables drawn as a live graph. Trace where data flows before you drop, rename or backfill anything.
- MV chains and dictionary sources
- Click-through to any table detail
- Lineage at a glance
Run SQL where the context is
A console with row counts, timing, history and EXPLAIN — plus DDL and parts inspection for the table you are looking at. No context switch to a separate client.
- Query history and timing
- DDL, projections and skip indexes per table
- Parts and partitions inspection
More of Data Explorer in action
Everything in the box
Table browser
Every database, table and column with sizes.
Dependency graph
MVs, dictionaries and sources, linked.
SQL console
Row counts, timing, history, EXPLAIN.
DDL view
SHOW CREATE for any object.
Parts
Parts and partitions per table.
Indexes
Projections and skip indexes surfaced.
Common questions
Is the SQL console read-only?
It runs with the credentials you configured; pair it with a read-only ClickHouse user for a strictly read-only console.
Does the graph handle big schemas?
Yes — the graph is scoped per database/table neighborhood so thousand-table schemas stay navigable.
Can I see why a table is large?
Table detail shows compressed/uncompressed sizes, parts and partitions to find the weight.
More chmonitor features
Start monitoring — advisor and alerts built in
Open the hosted dashboard and connect a cluster, or self-host with Docker, Kubernetes, or from source. Self-hosting is always free.