Centralize your data in Databricks

Databricks is a unified platform for data analytics and machine learning that enables the processing of large volumes of data with speed and scalability. Its integration with Apache Spark and collaborative tools makes it easier to build data pipelines and AI models efficiently.

Erathos and Databricks offer an integrated solution to accelerate data ingestion, processing, and analysis. With Erathos’s ready-made connectors and Databricks’ scalable platform, your team can focus on insights and innovation without worrying about the complexity of data pipelines.

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Create a single source of truth

Connect all your data sources to Databricks

Connect all your data sources to Databricks

What is Erathos?

Connect all your data sources to Databricks and create a single source of truth

Erathos is a complete ELT software that extracts data from various sources through instantaneous integrations. With plug & play connectors, you concentrate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

Your data centralized in Databricks in minutes

Your data centralized in Databricks in minutes

Plug and play connectors

Send data from more than 80 sources directly to Databricks with plug-and-play connectors. Eliminate manual processes and consolidate all your information in a single analytics repository.

Greater control over pipelines

Set up Databricks ingestion pipelines fast: choose sources, define schedules and frequencies without writing code. You decide what to sync and when.

End-to-end observability

Monitor the health of your Databricks pipelines with real-time alerts via email, Slack, or Discord. Always up-to-date data with full traceability.

No credit card required

No credit card required

Our customers

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

What data sources can I connect to Databricks with Erathos?

Erathos connects more than 80 data sources directly to Databricks, including CRMs, ERPs, marketing platforms, databases, and more. All connectors are plug-and-play and can be configured without code.

Is data ingestion in Databricks via Erathos incremental?

Yes! All ingestion pipelines for Databricks run incrementally by default. Only new or changed data is processed on each run, ensuring efficiency, lower processing costs, and full traceability.

Can I try sending data to Databricks for free?

Yes! You can test the Databricks integration for free for 14 days. Just connect a new source and set up Databricks as the destination — you’ll have two weeks to validate the pipeline before any charges apply.

Does Databricks need special configuration to receive data from Erathos?

No. Erathos manages the entire connection to Databricks automatically. You only need to provide the access credentials and choose the destination schema. The platform takes care of table creation, schema management, and incremental data ingestion.

Does Erathos handle point-to-point integration using Databricks?

No. Erathos does not perform direct point-to-point integrations between systems using Databricks as an intermediary. Our focus is to centralize data from multiple sources in Databricks as a Data Warehouse, creating a single source of truth for the entire company.

What data sources can I connect to Databricks with Erathos?

Erathos connects more than 80 data sources directly to Databricks, including CRMs, ERPs, marketing platforms, databases, and more. All connectors are plug-and-play and can be configured without code.

Is data ingestion in Databricks via Erathos incremental?

Yes! All ingestion pipelines for Databricks run incrementally by default. Only new or changed data is processed on each run, ensuring efficiency, lower processing costs, and full traceability.

Can I try sending data to Databricks for free?

Yes! You can test the Databricks integration for free for 14 days. Just connect a new source and set up Databricks as the destination — you’ll have two weeks to validate the pipeline before any charges apply.

Does Databricks need special configuration to receive data from Erathos?

No. Erathos manages the entire connection to Databricks automatically. You only need to provide the access credentials and choose the destination schema. The platform takes care of table creation, schema management, and incremental data ingestion.

Does Erathos handle point-to-point integration using Databricks?

No. Erathos does not perform direct point-to-point integrations between systems using Databricks as an intermediary. Our focus is to centralize data from multiple sources in Databricks as a Data Warehouse, creating a single source of truth for the entire company.

Data ingestion with control, observability, and scale