YouTube Analytics to Databricks integration
Connect YouTube Analytics to Databricks and automatically sync your marketing platform data. Weld extracts Videos, Channels, Playlists, and Views from YouTube Analytics, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
- content_owner_basic_a437 cols
- content_owner_asset_basic_a336 cols
- channel_basic_a335 cols
- content_owner_asset_province_a331 cols
- content_owner_province_a330 cols
- channel_province_a328 cols
- Extract
- Load
- Keep in sync
- youtube_analytics.content_owner_basic_a4Synced
- youtube_analytics.content_owner_asset_basic_a3Syncing
- youtube_analytics.channel_basic_a3Synced
- youtube_analytics.content_owner_asset_province_a3Synced
- youtube_analytics.content_owner_province_a3Synced
- youtube_analytics.channel_province_a3Synced
- YouTube Analytics tables
- 52
- fields, typed
- 921
- agent context included
- MCP
Trusted by data and AI teams
How to set up YouTube Analytics to Databricks in Weld.
In the app, with the API or an agent.
Why sync YouTube Analytics to Databricks?
Ready for analysis.
Centralizing your YouTube Analytics data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying YouTube Analytics data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring YouTube Analytics data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from YouTube Analytics to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every YouTube Analytics table, keys intact.
Weld syncs the following data objects from YouTube Analytics into Databricks. The exact tables and fields depend on your YouTube Analytics configuration and the permissions granted during setup.
- content_owner_basic_a4
- content_owner_asset_basic_a3
- channel_basic_a3
- content_owner_asset_province_a3
- content_owner_province_a3
- channel_province_a3
- content_owner_asset_combined_a3
- content_owner_combined_a3
- content_owner_asset_annotations_a1
- content_owner_asset_device_os_a3
- content_owner_asset_playback_location_a3
- content_owner_asset_traffic_source_a3
- content_owner_playlist_combined_a2
- playlist_combined_a2
- channel_combined_a3
- content_owner_annotations_a1
- content_owner_asset_cards_a1
- content_owner_device_os_a3
- content_owner_estimated_revenue_a1
- content_owner_playback_location_a3
- content_owner_subtitles_a3
- content_owner_traffic_source_a3
- content_owner_cards_a1
- content_owner_playlist_device_os_a2
- content_owner_playlist_playback_location_a2
- content_owner_playlist_traffic_source_a2
- playlist_device_os_a2
- playlist_playback_location_a2
- playlist_traffic_source_a2
- channel_annotations_a2
- and 22 more
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the YouTube Analytics context, finds the tables it needs and runs the query in Databricks.
How many content_owner_basic_a4 rows do we have in Databricks?
Reading the YouTube Analytics context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the YouTube Analytics API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If YouTube Analytics adds new fields, they're detected and added to the corresponding Databricks tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
YouTube Analytics setup guide
How to connect YouTube Analytics to Weld, step by step.
DocumentationDatabricks setup guide
How to connect Databricks to Weld, step by step.
SchemaYouTube Analytics schema explorer
Browse all 52 tables and 921 fields.
ConnectorYouTube Analytics connector
Everything Weld does with YouTube Analytics.
Common questions.
About YouTube Analytics to Databricks.
Start syncing YouTube Analytics to Databricks.
Set up your YouTube Analytics data pipeline in minutes. No credit card required. Free for 14 days.