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How Hevo Information and Databricks Companion to Automate Information Integration for the Lakehouse


Companies as we speak have a wealth of knowledge siloed throughout databases like MongoDB, PostgreSQL, and MySQL, and SaaS functions resembling Salesforce, Zendesk, Intercom, and Google Analytics. Bringing this knowledge right into a centralized repository requires a whole lot of growth and upkeep work. Constructing a customized connector for one such knowledge supply requires months of engineering bandwidth and fixed upkeep work to keep away from knowledge loss or loading errors as a result of modifications in supply knowledge or APIs.

Hevo Information, the end-to-end knowledge pipeline platform, has partnered with Databricks to offer a straightforward and automatic manner for companies to combine their knowledge from a number of SaaS sources and databases into Delta Lake. This partnership will allow Databricks customers to interrupt down knowledge silos rapidly, eradicate guide, error-prone knowledge integration duties, and get correct and dependable knowledge within the lakehouse to help their analytics, reporting, and AI/ML use circumstances. Hevo’s upcoming integration with Databricks Companion Join will make it simpler for Databricks prospects to attempt Hevo and ingest knowledge rapidly. Customers will have the ability to begin a seamless Hevo trial expertise proper from the Databricks product, decreasing friction for customers to leverage Hevo to onboard knowledge to the Lakehouse.

Hevo offers 150+ pre-built integrations with varied knowledge sources resembling databases, SaaS functions, cloud storage programs, SDKs, streaming providers, and extra to simplify the mixing, transformations, and processing of disparate knowledge. The platform helps a number of use circumstances, together with knowledge replication, ETL, ELT, and Reverse ETL. With Hevo’s Databricks connector, Delta Lake customers can obtain sooner, extra correct, and extra dependable knowledge integration at scale, serving to hydrate the lakehouse and resolve extra use circumstances with real-time, correct, and unified knowledge.

Along with creating pipelines to load knowledge from all of the SaaS sources and databases to Delta Lake, Hevo offers quite a few very important options. This contains pre-load and post-load transformation, append-only and de-duplication strategies for loading knowledge, close to real-time replication, and auto schema mapping.

Databricks pipeline dashboard on Hevo
Databricks pipeline dashboard on Hevo

Databricks and Hevo share many commonalities. Listed below are the highest three advantages that spotlight our partnership:

  • Scalable – Each platforms are hosted on the cloud and constructed on a horizontally scalable structure.
  • Safe – Each platforms are constructed with enterprise-grade safety and are HIPAA, SOC2, and GDPR-ready to make sure that your knowledge is totally protected.
  • Strong – Delta helps construct strong pipelines at scale, and Hevo mechanically detects any anomaly within the incoming knowledge and notifies you immediately to scale back downtime.

If you’re already a Databricks buyer, search for the upcoming Hevo integration in Companion Join. To study extra about Hevo’s Databricks connector, please evaluation the detailed documentation or watch the demo video right here. Hevo offers a 14-day free trial, so begin constructing your knowledge pipelines as we speak!



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