SINGAPORE (October 26, 2023) – Data and AI company Databricks announced recently their acquisition of Arcion, a Databricks Ventures portfolio company. This acquisition is expected to enable Databricks the ability to provide scalable, user-friendly and cost-effective solution to absorb data from various enterprise data sources and build scalable change data capture (CDC) engines. The integration allows for the full enterprise security, governance and compliance capabilities of the Databricks platform.
With their Databricks Lakehouse platform, Databricks provides data unifying, analysing and AI support to over 10,000 organisations across the globe.
Acrion’s zero-impact, agentless CDC pipelines replicate data within enterprise databases, data warehouses and cloud analytics platforms with low latency and consistency, providing built-in high-availability and support with no requirement for special code being created.
“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.”
”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,” said Gary Hagmueller, CEO of Arcion. “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.”
Though the Data Lakehouse platforms are considered to be the de facto standard for AI and enterprise data platforms, they are only as valuable as the quality of the data within them. Obtaining data from existing databases remain a complicated and costly exercise while large quantities of valuable data remains in transactional databases such as Oracle, MySQL Postgres and also in SaaS applications such as Salesforce, SAP and Workday. Businesses still suffer from the consequences of siloed systems, where 34% still have more than 10 systems which they need to manage concurrently.