Move your data from Airtable with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
Airtable connector details
The Airtable connector for Estuary Flow enables you to continuously capture structured data from Airtable bases into Flow collections. It supports both API key and personal access token authentication, making it simple to connect and replicate tables for analytics or downstream integrations.
- Captures bases, tables, and records from Airtable in near real time
- Supports API key and personal access token authentication methods
- Easily configured within the Flow web app or via catalog specifications
- Ideal for syncing Airtable data to warehouses or analytics tools
- Enterprise-ready: Works securely within Estuary’s Private and BYOC deployments for complete control over authentication and data governance
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 Airtable 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 Airtable insights always reflect the latest data by connecting your databases to Airtable with change data capture.
- Or connect critical SaaS apps to Airtable 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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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