# Slack + PostgreSQL

> Integrate Slack conversations, messages, and users with PostgreSQL using Erathos. Centralized, up-to-date collaboration data ready for analysis.

Source: https://www.erathos.com/en/pipelines/slack-postgresql
Em português: https://www.erathos.com/pipelines/slack-postgresql

Slack is where work happens: decisions, escalations, and alerts flow through channels, threads, and DMs every day. The Erathos Slack connector syncs conversations, messages, thread replies, reactions, users, user groups, and file metadata from your workspace into PostgreSQL over the Slack Web API.

With PostgreSQL, Slack data lives right next to your operational data. Smart UPSERT keeps tables current without duplicates, so channel directories, user profiles, and message history stay ready for the internal tools, queries, and applications that already run on your Postgres database.

## Data in your data warehouse in minutes

### Slack connector ready to use

Connect Slack to PostgreSQL in minutes with our native connector. Conversations, messages, thread replies, reactions, users, user groups, and file metadata synced automatically, with no pipeline code required.

### Total control over your Slack pipelines

Configure schedule, frequency, and sync type at the table level. Incremental synchronization on message and file streams processes only new records, and smart UPSERT keeps your Postgres tables consistent without duplicates.

### End-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.

## Consolidating Slack data in PostgreSQL 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 PostgreSQL, with full observability into every run and zero maintenance.

## FAQ

### How do I connect Slack to PostgreSQL with Erathos?

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%.

### What Slack data does Erathos sync to PostgreSQL?

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.

### How often does Erathos synchronize Slack data to PostgreSQL?

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. Other Slack tables run as full refresh.

### What happens if a synchronization fails?

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.

### Is there a free trial period for the Slack connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Slack to PostgreSQL and start syncing immediately, no credit card required.