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SendGrid connector details
The SendGrid connector captures data from the SendGrid API into Estuary Flow collections, helping you centralize and analyze email campaign performance, contact engagement, and deliverability metrics across your organization.
- Comprehensive coverage: Supports a wide range of SendGrid resources including campaigns, lists, contacts, segments, single sends, templates, suppression groups, bounces, blocks, invalid emails, and spam reports.
- Incremental ingestion: Periodically polls the SendGrid API to capture new and updated records since the configured start date.
- Reliable structure: Each SendGrid resource is mapped to its own Flow collection through individual bindings for organized data management.
- Easy setup: Requires only a SendGrid API key and a start_date to begin replication.
- Broad compatibility: Works seamlessly in the Flow web application or via the CLI using the
ghcr.io/estuary/source-sendgrid:devDocker image. - Optimized performance: Enhanced for higher throughput and reliability compared to the open-source connector it’s based on.
💡 Tip: For large SendGrid accounts or frequent updates, configure shorter sync intervals or split captures by resource type to reduce API rate-limit impacts.


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from SendGrid in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your SendGrid insights always reflect the latest data by connecting your databases to SendGrid with change data capture.
- Or connect critical SaaS apps to SendGrid with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |

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