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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



Notion connector details
Estuary’s Notion connector makes it easy to capture content, structure, and activity data from your Notion workspace in near real time. It connects directly through the Notion API to bring pages, databases, and user data into Flow collections for analysis, synchronization, or reporting.
- Captures pages, databases, users, comments, and blocks from Notion via the Notion API
- Supports both OAuth and token-based authentication, offering flexibility across environments
- Allows incremental or full-refresh syncs with custom start dates for historical capture
- Ideal for centralizing workspace data into warehouses or analytics systems
- Supports Estuary’s Private and BYOC deployments for complete data control and compliance.
💡 Tip: You can combine this connector with Estuary’s warehouse materializations (like Snowflake or BigQuery) to build real-time Notion analytics dashboards without manual exports.


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 Notion 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 Notion insights always reflect the latest data by connecting your databases to Notion with change data capture.
- Or connect critical SaaS apps to Notion 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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