Integrations
Integrations
Connect Lightdash to dbt, Slack, Google Sheets, SQL clients over the Postgres wire protocol, and Snowflake Cortex
Lightdash works with the tools your team already uses. Connect a dbt project to build your semantic layer from it, send chart results to Slack and Google Sheets, deliver alerts and scheduled reports, query your semantic layer from any SQL client, and operate Lightdash agentically from Snowflake Cortex.
One closely related integration is documented in its own product area: the Lightdash MCP server, which lets AI assistants explore your data and run queries directly.
Slack integration
Unfurl chart links, deliver scheduled reports and alerts, and chat with your AI agents in Slack
Google Sheets
Sync chart results to a Google Sheet on a schedule, or query Lightdash from the sidebar add-on
Metrics SQL API
Query your Lightdash semantic layer over the Postgres wire protocol from any SQL client or BI tool
Snowflake Cortex
Operate your BI layer agentically by pairing Lightdash with Snowflake's Cortex Code agent
dbt
dbt Projects
Every way to sync your dbt project into Lightdash, and how to connect multiple dbt sources
dbt write-back
Develop models and metrics in Lightdash and open a pull request against your dbt project
dbt MetricFlow metrics
Connect Lightdash to your dbt MetricFlow semantic layer metrics
Upgrading dbt
What changes in your Lightdash setup when you move between dbt versions