Customers get integrated unified analytics platform and cloud data warehouse solution

Databricks, the leader in unified analytics and founded by the original creators of Apache Spark, and Snowflake Computing, the data warehouse built for the cloud, announced their strategic partnership and the integration of their products, which have already benefited joint customers.

Only one in three artificial intelligence projects are successful today because enterprises are struggling with data-related problems like silos and inconsistent data sets1. To address these challenges,

Databricks and Snowflake have teamed up to accelerate innovation and streamline integration for customers doing big data analytics and machine learning. The cloud technology providers have developed a connector between Databricks’ Unified Analytics Platform and Snowflake’s cloud-built data warehouse.

Today, data-driven enterprises leverage integrated solutions from both technology vendors. Databricks’ Unified Analytics Platform is an end-to-end analytics platform that unifies big data and AI. Snowflake’s cloud-built data warehouse delivers the instant elasticity, secure data sharing and per-second pricing across multiple clouds for modern data analytics.

With an integrated solution, Databricks and Snowflake enable organizations to seamlessly leverage massive volumes of historical data with dynamic streaming data to drive powerful machine learning insights. This integration liberates organizations bogged down from the costs, limitations and maintenance of on-premise data analytics solutions. Databricks and Snowflake currently have joint customers, including Overstock.com, ShopRunner, Handshake, Hotel Tonight, and Rue Gilt Groupe.