Move your data from Monday 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
Monday connector details
Streamline project operations with Estuary’s Monday connector, which captures boards, items, users, teams, and tags into Flow collections. It integrates directly with the Monday.com API to consolidate workspace data for analysis, automation, and monitoring.
- Captures boards, items, users, teams, and tags via the Monday API
- Uses secure API token authentication (OAuth support coming soon)
- Supports adjustable sync intervals for flexible data refresh
- Ideal for project analytics, task automation, and collaboration tracking
- Deployment-ready: Estuary Flow supports Private Deployment and BYOC options, ensuring data security, compliance, and isolation within your environment
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 Monday 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 Monday insights always reflect the latest data by connecting your databases to Monday with change data capture.
- Or connect critical SaaS apps to Monday 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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