Sendgrid to Google BigQuery integration
Connect Sendgrid to Google BigQuery and automatically sync your marketing platform data. Weld extracts data from Sendgrid, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceSendgridConnected- segment9 cols
- sender17 cols
- legacy_campaign12 cols
- legacy_segment_recipient11 cols
- legacy_segment_recipient_custom_field8 cols
- legacy_segment_condition7 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- sendgrid.segmentSynced
- sendgrid.senderSyncing
- sendgrid.legacy_campaignSynced
- sendgrid.legacy_segment_recipientSynced
- sendgrid.legacy_segment_recipient_custom_fieldSynced
- sendgrid.legacy_segment_conditionSynced
- Sendgrid tables
- 40
- fields, typed
- 335
- relationships kept
- 5
- agent context included
- MCP
Trusted by data and AI teams
Why sync Sendgrid to Google BigQuery?
Ready for analysis.
Centralizing your Sendgrid 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 Sendgrid data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Sendgrid 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 Sendgrid to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Sendgrid table, keys intact.
Weld syncs the objects the Sendgrid connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- segment
- sender
- legacy_campaign
- legacy_segment_recipient
- legacy_segment_recipient_custom_field
- legacy_segment_condition
- legacy_campaign_segment
- contact
- legacy_category_stat
- subuser_stat
- stat
- event_webhook_setting
- mailbox_provider_stat
- legacy_list_recipient
- single_send
- template_version
- message
- alert
- geo_stat
- legacy_list_recipient_custom_field
- ip_address
- unsubscribe_group
- browser_stat
- client_stat
- device_stat
- block
- bounce
- inbound_parse_setting
- legacy_segment
- subuser
- and 10 more
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Sendgrid context, finds the tables it needs and runs the query in Google BigQuery.
How many legacy_campaign rows do we have per sender? Use our Sendgrid data in Google BigQuery.
Reading the Sendgrid 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 Sendgrid API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Sendgrid 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 Sendgrid to Google BigQuery.
Start syncing Sendgrid to Google BigQuery.
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SourceWarehouse
