Twilio to Snowflake integration
Connect Twilio to Snowflake and automatically sync your communication data. Weld extracts data from Twilio, loads it into Snowflake, 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
DestinationSnowflakeReady- 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 Snowflake in Weld.
In the app, with the API or an agent.
New connectionTwilioAuthorisedWhy sync Twilio to Snowflake?
Ready for analysis.
Centralizing your Twilio data in Snowflake 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 Snowflake using SQL or your preferred BI tool.
Centralized data warehouse
Bring Twilio data into Snowflake 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 Snowflake. 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 Snowflake, 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 Snowflake 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 Snowflake.
How many conference_participant rows do we have in Snowflake?
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 Snowflake 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 Snowflake.
Start syncing Twilio to Snowflake.
Set up your Twilio data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
