Cloudera announced today that it has agreed to acquire San Mateo, California-based cloud big data analytics provider Arcadia Data. The addition of Arcadia’s patent-pending ArcEngine technology will enable Cloudera customers to generate insights in use cases like data lakes, cybersecurity, and IoT and customer intelligence. The merger will also mean enhanced self-service access to data and improved analytics response times inside the Cloudera Data Warehouse.
Arcadia’s ArcEngine technology uses machine learning to anticipate and pre-compute common queries and reports. For business users, this means faster self-serve reporting. The company’s flagship tool, Arcadia Enterprise, is purpose-built to analyze large volumes of data without moving it in order to fill the gap between self-service BI and advanced analytics for emerging use cases. Arcadia Smart Acceleration also allows organizations to support hundreds of thousands of concurrent users.
In a statement, Arcadia Data’s CEO Sushil Thomas spoke about the news, saying: “Arcadia Data and Cloudera have many joint customers, and integrating our technology into Cloudera’s platform will make it even easier for enterprises to receive the insights they need to drive intelligent business decisions. Our joint expertise with Cloudera will benefit customers and foster enhanced innovation, as end users will be able to act on data insights more quickly than ever before.”
It’s expected that the entire Arcadia Data organization will join Cloudera. Arcadia Data customers will continue to use the technology in its current form. In an upcoming release, it is expected that Arcadia’s technology will be merged into Cloudera Data Warehouse.
This announcement comes on the heels of Arcadia’s March announcement surrounding support for the top cloud-based data warehouses.
Latest posts by Timothy King (see all)
- New Datameer X Release Features Machine Learning Data Preparation - September 20, 2019
- Examining Top Data Analytics Firms in the 2019 Forbes AI 50 - September 18, 2019
- Tableau Adds Explain Data and Tableau Catalog to Analytics Platform - September 18, 2019