Twilio to Amazon S3 integration
Connect Twilio to Amazon S3 and automatically sync your communication data. Weld extracts data from Twilio, loads it into Amazon S3, 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
DestinationAmazon S3Ready- 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 Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionTwilioAuthorisedWhy sync Twilio to Amazon S3?
Ready for analysis.
Centralizing your Twilio data in Amazon S3 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 Amazon S3 using SQL or your preferred BI tool.
Centralized data warehouse
Bring Twilio data into Amazon S3 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 Amazon S3. 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 Amazon S3, 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 Amazon S3 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 Amazon S3.
How many conference_participant rows do we have in Amazon S3?
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 Amazon S3 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 Amazon S3.
Start syncing Twilio to Amazon S3.
Set up your Twilio data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
