Databricks snaps up Arcion for $100m

The vendor hopes Arcion’s connectors will simplify and accelerate ingesting data from enterprise databases to the Databricks lakehouse platform

Databricks has acquired enterprise data replication provider Arcion for $100m, inclusive of incentives.

The software vendor hopes to build its offering and help enterprises replicate data across on-prem, cloud databases and data platforms.

Databricks also aims to provide native solutions to ingest data from various databases and SaaS applications into the Databricks lakehouse platform with the buy.

Building on a scalable change data capture (CDC) engine, Arcion offers connectors for over 20 enterprise databases and data warehouses.

The integration is designed to simplify ingesting such data either continuously or on-demand into the lakehouse, fully integrated with the enterprise security, governance, and compliance capabilities of the Databricks platform.

"To build analytical dashboards, data applications, and AI models, data needs to be replicated from the systems of record like CRM, ERP, and enterprise apps to the Lakehouse," said Ali Ghodsi, co-founder and CEO at Databricks.

"Arcion's highly reliable and easy-to-use solution will enable our customers to make that data available almost instantly for faster and more informed decision-making.

"Arcion will be a great asset to Databricks, and we are excited to welcome the team and work with them to further develop solutions to help our customers accelerate their data and AI journeys."

Gary Hagmueller, CEO of Arcion also added: "Arcion's real-time, large-scale CDC data pipeline technology extends Databricks' market-leading ETL solution to include replication of operational data in real-time.

"Databricks has been a great partner and investor in Arcion, and we are very excited to join forces to help companies simplify and accelerate their data and AI business momentum."

Databricks recently integrated MosaicML's technology with its data lakehouse platform, allowing users to build and train models using their own data.