Estuary
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REAL-TIME ETL & CDC

Stream into Slack 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
01. Select a source02. Transform in-flight03. Deliver to Slack
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Slack connector details

The Slack materialization connector sends data from Estuary Flow collections directly to Slack channels, enabling real-time alerts, notifications, and insights inside your workspace.

  • Seamless integration: Deliver updates from Flow collections into any Slack channel
  • Custom formatting: Configure sender name and emoji for easy identification
  • Secure authentication: Connect using your Slack Access Token, Client ID, and Client Secret
  • Automation-ready: Ideal for monitoring workflows, pipeline statuses, or anomaly alerts
  • Flexible output: Supports multiple bindings to send different data streams to separate channels
  • Secure deployment: Fully supported in Estuary’s Private and BYOC environments for governance and compliance

💡 Tip: Use this connector to automatically post data events or alerts to Slack — for example, notify your team when new records are ingested or errors are detected in a pipeline.

For more details about the Slack connector, check out the documentation page.

How to connect your data source to Slack in 3 easy steps

1

Connect your data source

Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

2

Prepare and transform your data

Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

3

Sync to Slack

Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

Learn more with some related videos

Dive deeper into Slack with tutorials and walkthroughs from our YouTube channel.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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HIGH THROUGHPUT

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

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DURABLE REPLICATION

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

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to Slack 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 Slack insights always reflect the latest data by connecting your databases to Slack with change data capture.
  • Or connect critical SaaS apps to Slack with real-time data pipelines.

See how you can integrate any source with Slack:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
BigQuery logo
BigQuery
Snowflake Data Cloud logo
Snowflake Data Cloud

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.