Meet Erathos: an all-in-one solution for ELT ingestion

In the data-driven era, it is vital for companies to efficiently collect and load data, letting transformation happen at the right time, with the right tool. ELT (Extract, Load, Transform) refers to this process, and choosing the right tool for the extraction and loading stages is crucial.

In this post, we introduce you to the Erathos platform, a complete solution for the extract and load (EL) stages of your ELT. Read on.

What is ELT?

Before diving into the solution, let's briefly recap what ELT is. It is a three-stage process:

• Extraction: collecting data from different sources.
• Loading: transferring raw data to the destination database (the warehouse) without modifications.
• Transformation: processing this data once it is already inside the warehouse, converting it into a uniform format or one suitable for analysis.

The core difference between ELT and traditional ETL is the order: raw data is loaded first, and only then transformed within the destination. This decouples extraction from transformation, meaning a change in modeling logic does not require re-extracting from the source, and an extraction failure does not block the analytics engineers from modeling.

Why Erathos covers extract and load, and leaves transformation to the right tool

Erathos is a data ingestion platform specifically focused on the extract and load stages of ELT. This is a deliberate choice, not a limitation: transformation is a stage that benefits from specialized tools that version logic as code, test before publishing, and document what each table represents. Mixing extraction, loading, and transformation into a single closed tool tends to make the process more rigid, not simpler.

With Erathos handling extract and load, you maintain complete freedom over how and with what you transform your data later, without being locked into a proprietary transformation tool. And this freedom is not just theoretical: the Erathos API allows you to integrate the ingestion workflow with any modeling tool your team already uses or prefers, including orchestrators like Airflow, keeping the entire pipeline, from extraction to transformation, orchestrated end-to-end instead of being two disconnected steps that someone has to manually stitch together.

The concrete benefits of using Erathos for this layer:

Plug-and-play connectors, and custom ones when you need them. Hundreds of sources are already supported, from CRMs and ERPs to relational databases, without requiring custom integration code. And when the source you need is not yet in the catalog, Erathos also offers the option to build a custom connector, without waiting for the source to enter the roadmap.

Granular control over what is loaded. Ingestion does not have to be all-or-nothing. You can select which columns from each source should be loaded and anonymize sensitive fields before the data even reaches the warehouse, which is useful both for reducing unnecessary volume and meeting privacy and compliance requirements.

Native observability. Every sync generates an audit trail: extraction runtime, record count per window, automatic alerts for failures or volume drops. You know exactly what happened in each execution, without guessing.

Automatic schema evolution. When the source adds a new field or changes a data type, Erathos adjusts the destination table schema automatically, without requiring manual intervention.

Multiple destinations supported. BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, Supabase, Azure Synapse, and Amazon S3, all with the same level of incremental sync and monitoring.

Zero scripts to write or maintain. Configuration is done via UI, without requiring the team to write or maintain their own extraction pipelines.

Accelerating your data-driven transformation with Erathos

The real value of Erathos is not just speed. Building an extract and load pipeline manually is also fast nowadays: any modern cloud provider gives you the building blocks to set this up in an afternoon. The "it's faster to do it with us than manually" pitch doesn't convince anyone anymore, because it's no longer true on day one.

What really changes is what happens after day one. Keeping that pipeline running is the work nobody estimated: the source changes a schema, the API starts returning 429 errors without warning, a script that ran automatically stops running on a Friday night and no one notices until Monday. This is the real cost Erathos takes off your team's plate: it's not about building faster, it's about never needing to maintain it.

In a competitive business environment where customer expectations are always rising, having fast and reliable access to raw data in the warehouse is what supports all downstream analysis, without anyone on the team having to become the permanent fixer of broken pipelines.

With Erathos, you can:

Eliminate ongoing maintenance, not just accelerate initial building. Schema evolution, rate limiting, retries, failure alerts: all of this is the platform's responsibility forever, not just during the first week of setup.

Ensure consistent loads. Errors during loading can be costly and hard to track. With Erathos, every sync is monitored and auditable, minimizing the risk of silent inconsistencies.

Focus transformation where it belongs. With raw data already centralized and reliable in the warehouse, the data team focuses their transformation energy on modeling what actually matters to the business, using the modeling tools they already know, orchestrated alongside ingestion via the Erathos API.

Frequently Asked Questions about Erathos and ELT

Does Erathos do data transformation? No. Erathos covers extract and load (EL). Transformation happens afterward, inside your warehouse, using the modeling tool you already use or prefer.

Why doesn't Erathos offer transformation as well? Because transformation benefits from specialized tools that can be version-controlled as code. Covering only extract and load keeps the platform simple and avoids locking you into proprietary, closed transformation logic.

Which transformation tools work well with Erathos? Any tool that operates directly on your destination warehouse works well, since Erathos delivers raw data already organized and available for this next step. The Erathos API allows you to integrate this transformation workflow directly with ingestion, keeping everything orchestrated.

Can I choose which data to load, or is it always the entire source? You can choose. You can select which columns from each source should be loaded and anonymize sensitive fields before the data reaches the warehouse, without needing to pull the entire source when only a portion of it is required.

What if the source I need is not in the connector list? Erathos offers the option to build a custom connector for sources that are not yet part of the standard catalog.

How many connectors does Erathos offer? The list of connectors is constantly growing. The most up-to-date way to check is on the connectors page on our website.

Conclusion

The Erathos platform does not try to be an all-in-one, closed ELT tool; it is the extract and load solution that supports everything that comes after. If you are ready to take your company's data ingestion to the next level without giving up freedom in the transformation stage, we are here to help.

Create your free Erathos account and see how it works in practice.