

HubSpot + Databricks
HubSpot is an integrated marketing, sales, and service platform that offers a variety of tools to help businesses attract, engage, and delight customers. Databricks, on the other hand, is a serverless Big Data solution that provides robust capabilities for large-scale data storage and analysis.
With Erathos, you can seamlessly integrate HubSpot to Databricks in just a few minutes. Our platform handles the entire data movement process to your analytical environment and allows this data to be cross-referenced with other sources in your Data Warehouse. This way, your time is focused on what truly adds value — extracting valuable insights and making more data-driven decisions.
No credit card required.


Why Erathos?
Seamless Integrations for Faster Insights
Erathos makes HubSpot to Databricks integration effortless, allowing you to consolidate marketing, sales, and customer data in minutes. With plug-and-play connectors, data extraction is fully automated, keeping your analytical environment always updated.
Greater Control Over Data Pipelines
With Erathos, you decide when and how data from HubSpot to Databricks is transferred. Configure schedules and update frequency easily, ensuring your business receives accurate insights at the right time.
Advanced Monitoring and Observability
Avoid data sync failures with real-time monitoring and alerts. Erathos notifies you about the status of your HubSpot to Databricks pipelines via email, Slack, or Discord, ensuring your analytics remain reliable.
What is Erathos?
Gather data from different sources in one place
Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you can concentrate all your data in a single analytical environment and build a Data Warehouse in minutes.
Our customers
Simplified data ingestion
1
Select your data source
Choose your data source between over 50 plug'n'play connectors. You can test each connector for 14 days.
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 Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ