Slack + Redshift
Slack captures how your company actually works: decisions, escalations, and handoffs across channels, threads, and DMs. The Erathos Slack connector uses the Slack Web API to sync conversations, messages, thread replies, reactions, users, user groups, and file metadata into Redshift, with incremental synchronization on message and file streams.
Redshift is built for large-scale analysis across the AWS ecosystem. Landing Slack channels, messages, and users there lets you join collaboration patterns with business events at scale, from support response tracking to cross-team engagement analysis, all in standard SQL.
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Connect your source
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Consolidating Slack data in Redshift has never been easier
Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the Slack connector, you can automatically move channels, messages, threads, reactions, users, and file metadata into Redshift, with full observability into every run and zero maintenance.
Data in your data warehouse in minutes
Slack connector ready to use
Connect Slack to Redshift in minutes with our native connector. Conversations, messages, thread replies, reactions, users, user groups, and file metadata synced automatically, with no pipeline code required.
Learn moreTotal control over your Slack pipelines
Configure schedule, frequency, and sync type at the table level. Message and file streams support incremental synchronization, so each run processes only new records, keeping your Redshift compute costs low and predictable.
Learn moreEnd-to-end observability
Stop finding out about failures only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Slack
Other sources that land in Redshift
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect their SaaS tools, such as Slack, to their data warehouse, without the maintenance cost of in-house pipelines or the opacity of traditional ETL tools. Our customers reduce pipeline maintenance by up to 80%.
Erathos syncs conversations, including public and private channels, group DMs, and DMs, along with messages, thread replies, reactions, bookmarks, pins, users and presence data, user groups and their members, file and file comment metadata, emoji, reminders, scheduled messages, and team data such as access and integration logs. The scopes you grant to your Slack bot token determine which endpoints and conversations are available.
You can configure sync frequency at the table level, from every 5 minutes up to once per day. Message and file streams use incremental synchronization with a cursor, so each run processes only records newer than the last sync, keeping Redshift compute costs predictable. Other Slack tables run as full refresh.
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full execution context, not just 'job failed.' Smart retries handle transient errors, and every run is logged so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect Slack to Redshift and start syncing immediately, no credit card required.