# Erathos

> Erathos is a managed data ingestion platform that connects data sources to data warehouses with pre-built connectors, granular pipeline control, and full execution observability — without requiring teams to build or maintain custom ingestion code.

Erathos targets data engineers, analytics engineers, data analysts, and data team leads who need reliable ELT pipelines without the ongoing operational overhead of managing authentication, rate limits, schema drift, and retries themselves.

## What Erathos does

Erathos handles extraction and loading (the EL in ELT). It connects sources (SaaS APIs and databases) to destinations (data warehouses, object storage) using managed connectors that handle:

- Schema evolution and drift
- Partial failures and retries
- Rate limiting and pagination
- Authentication refresh

Once data is in the warehouse, teams run their own transformations (dbt, Spark, etc.).

## Key differentiators

### Granular pipeline control
Unlike most ELT tools that apply global settings per source, Erathos lets you configure ingestion behavior at the table or endpoint level:
- **Schedule and frequency**: set different sync schedules and frequencies per table or endpoint, not just per source
- **Sync type**: choose the update strategy per table (full refresh, incremental, append-only, etc.)
- **Block Window**: prevent ingestion updates during specific time windows per table
- **Custom backfill**: apply filters to reload only a subset of historical data, avoiding full reloads
- **Custom retry strategy**: set retry count and interval per connector before surfacing an error

### Execution observability
- Full execution history per pipeline, including row counts, timestamps, and freshness
- Job-level detail: next scheduled run, last run status, duration
- Real-time alerts via email, Slack, and Discord when a job fails — before issues propagate downstream

### Open API
Erathos exposes an API to integrate ingestion into broader data stack workflows:
- Trigger Erathos jobs from external orchestrators (Airflow, Dagster, Prefect)
- Use job completion as a trigger for downstream automation (dbt runs, Databricks jobs)
- Feed execution metadata into centralized observability systems

## Connectors

80+ connectors across three categories:

**SaaS APIs**: HubSpot, Stripe, Google Ads, Meta Ads, TikTok Ads, Intercom, and others  
**Databases**: PostgreSQL, MySQL, SQL Server, MongoDB  
**Destinations (warehouses/storage)**: BigQuery, Redshift, Databricks, Amazon S3

Full connector list: https://www.erathos.com/connectors

## Who uses Erathos

Data teams processing billions of rows per month. Typical users are data engineers and analytics engineers who want managed reliability without losing control over pipeline behavior.

## Pages

### Marketing site
- [Home](https://www.erathos.com/): product overview
- [Connectors](https://www.erathos.com/connectors): full list of available source and destination connectors
- [Pricing](https://www.erathos.com/pricing): plans and pricing
- [Customer stories](https://www.erathos.com/clientes): case studies from production users
- [Blog](https://www.erathos.com/blog): technical content on data ingestion and pipeline reliability
- [About](https://www.erathos.com/sobre): company background

### Documentation (docs.erathos.com)
- [Welcome](https://docs.erathos.com/): documentation home, what Erathos is and how to get started
- [Quickstart](https://docs.erathos.com/introduction/quickstart): step-by-step guide to set up your first pipeline
- [Connections](https://docs.erathos.com/platform/connections): how to connect sources to your warehouse
- [Sync types](https://docs.erathos.com/platform/sync-types): available ingestion strategies (full refresh, incremental, etc.)
- [Sync schedule](https://docs.erathos.com/platform/sync-schedule): how to configure sync frequency and schedule
- [API connectors](https://docs.erathos.com/connectors/apis): all available SaaS/API source connectors
- [Database connectors](https://docs.erathos.com/connectors/databases): all available database source connectors
- [Redshift destination](https://docs.erathos.com/destinations/redshift): how to connect Redshift as a destination
- [Airflow integration](https://docs.erathos.com/integrations/airflow): orchestrate Erathos jobs with Airflow
- [dbt Cloud integration](https://docs.erathos.com/integrations/dbt-cloud): trigger dbt runs after ingestion completes
- [Prefect integration](https://docs.erathos.com/integrations/prefect): orchestrate Erathos jobs with Prefect

## Optional context

For more detail on specific topics:
- Full product context: https://erathos.com/llms-full.txt
- Connectors reference: https://erathos.com/llms-connectors.txt
- Observability and alerting: https://erathos.com/llms-observability.txt
- Stack integrations (Airflow, dbt, Prefect): https://erathos.com/llms-integrations.txt

## Get started

- Sign up (free, no credit card required): https://app.erathos.com/signup
- Book a demo: https://calendly.com/erathos-gelsonbagetti/erathos
- Contact: contato@erathos.com