SQL Console | CloudQuery
The SQL Console lets you run ClickHouse SQL queries directly against your synced cloud data. Use it for ad-hoc analysis, cross-table joins, aggregations, and any query that goes beyond the Asset Inventory search syntax.
The SQL Console is read-only. You can query data but cannot modify it, or create tables or views.
Table Browser
The left sidebar lists all available tables, organized into two sections:
- Asset Inventory Tables: normalized tables that provide a consistent schema across all cloud resources, regardless of the source provider
- Integration Tables: the raw tables synced from each integration, reflecting the exact schema from the provider’s API
Expand any table to see its columns and data types. Click a column name to insert it into the query editor.
Running a Query
Queries use ClickHouse SQL syntax. Type your query in the editor and press the Run Query button or use the keyboard shortcut:
| Action | Shortcut |
|---|---|
| Run query | Ctrl+Enter / Cmd+Enter |
The editor provides autocomplete for table names and column names as you type.
Example: Find Unassigned EC2 Images
This query joins aws_ec2_images with aws_ec2_instances to find AMIs not attached to any instance:
SELECT
img.image_id,
inst.image_id as ec2_image, -- should all be NULL to show unassigned
img.name,
img.creation_date,
img.state,
img.tags
FROM
aws_ec2_images img
LEFT JOIN
aws_ec2_instances inst ON inst.image_id = img.image_id
WHERE
inst.image_id IS NULL -- AMIs not associated with any EC2 instance
AND img.state = 'available'
AND img.creation_date <= NOW() - INTERVAL 30 DAY
ORDER BY
img.creation_date ASC;Results appear in a table below the editor.
SQL Query Results
If a query returns more than 100 rows, the results are automatically paged.
Inspecting Results
Click any cell in the results table to open the Cell Inspection sidebar. This is useful for exploring complex JSON objects or copying individual values.

Cell Inspection view with a complex JSON object
Understanding the Data
Integration tables map directly to the provider’s API endpoints. The data is not transformed. To understand a table’s schema and where its data comes from, look it up on CloudQuery Hub. For example, the AWS EC2 Instances table documentation shows the columns, types, and the underlying AWS API.
For query ideas and worked examples, see the tutorials on the CloudQuery blog.
Saved Queries
Save frequently used queries by clicking Save after writing a query. Saved queries can be:
- Accessed from the Saved queries panel in the top right of the SQL Console
- Tagged for organization
- Shared with your team
- Managed via the REST API
- Configured with alerts to trigger notifications when they return results
You do not need to save a query before running it. The editor works for ad-hoc queries too.
Query Examples
For practical examples of security, compliance, and FinOps queries, see the query examples section.
Related Features
- Asset Inventory: browse and search resources without writing SQL
- Historical Snapshots: query point-in-time snapshots of your tables for trend analysis
- Reports: turn SQL queries into persistent visualizations and dashboards
- Policies: use SQL queries as detective controls that evaluate after every sync
- Alerts: trigger notifications when a saved query returns results
- AI Query Writer: describe what you want in natural language and get a SQL query
Next Steps
- Historical Snapshots - Query point-in-time snapshots of your data
- AI Query Writer - Generate SQL queries using natural language
- Reports - Build reports from your saved queries
- Query Examples - Security, compliance, and cost queries