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REAL-TIME ETL & CDC

Move your data from Slack with your free account

Continuously capture streaming and batch change data from Slack and deliver it to any destination using Estuary's pre-built no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Move from Slack02. Transform in-flight03. Select a destination
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Slack connector details

The Slack capture connector in Estuary captures workspace data from Slack through its APIs and loads each selected resource into an Estuary collection. It supports conversations, messages, users, files, threads, and related workspace data for downstream analytics, search, archiving, and other data workflows.

  • API-based data capture from Slack
  • Supports Channels (Conversations) and Channel Members
  • Captures Messages and Threads
  • Supports Users and User Groups
  • Captures Files and Remote Files
  • Separate Estuary collections for each selected Slack resource
  • Configurable start date to determine how far back Slack data is replicated
  • Configurable thread lookback window for retrieving historical thread messages
  • Option to automatically join available channels
  • Slack workspace or API-token authentication, with OAuth supported in connector configuration

The start date determines the earliest Slack data Estuary will replicate, while the thread lookback window controls how far back the connector searches for messages in conversation threads. Each enabled Slack resource is mapped to a separate Estuary collection by default.

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

How to connect Slack to your destination in 3 easy steps

  1. 1

    Connect Slack as your data source

    Securely connect Slack and choose the objects, tables, or collections you need to sync.

  2. 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. 3

    Sync to your destination

    Continuously or periodically deliver data to 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 from Slack in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ 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 Slack with any destination:

Details

or choose from these popular data sources:

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Snowflake

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.