Twilio to Google BigQuery integration
Connect Twilio to Google BigQuery and automatically sync your communication data. Weld extracts data from Twilio, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceTwilioConnected- conference_participant47 cols
- call22 cols
- message18 cols
- address15 cols
- conversation15 cols
- flow15 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- twilio.conference_participantSynced
- twilio.callSyncing
- twilio.messageSynced
- twilio.addressSynced
- twilio.conversationSynced
- twilio.flowSynced
- Twilio tables
- 30
- fields, typed
- 350
- agent context included
- MCP
Trusted by data and AI teams
How to set up Twilio to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionTwilioAuthorisedWhy sync Twilio to Google BigQuery?
Ready for analysis.
Centralizing your Twilio data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Twilio data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Twilio data into Google BigQuery 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 Twilio to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Twilio table, keys intact.
Weld syncs the objects the Twilio connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- conference_participant
- call
- message
- address
- conversation
- flow
- recording
- incoming_phone_number
- execution_step
- trunk
- verification_service
- conversation_user
- usage_record
- execution
- conversation_message
- messaging_service
- conference
- conversation_message_receipt
- conversation_participant
- role
- verification_attempt
- account
- message_media
- outgoing_caller_id
- flow_definition_state
- service
- conference_participant_extended_coached_participant
- flow_definition_flag
- execution_context
- execution_step_context
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Twilio context, finds the tables it needs and runs the query in Google BigQuery.
How many conference_participant rows do we have in Google BigQuery?
Reading the Twilio 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 Twilio API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Twilio adds new fields, they're detected and added to the corresponding Google BigQuery 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.
Common questions.
About Twilio to Google BigQuery.
Start syncing Twilio to Google BigQuery.
Set up your Twilio data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
