by Angela Guess
A new press release reports, “Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, today announced Databricks Delta, the first unified data management system that provides the scale and cost-efficiency of a data lake, the reliability and query performance of a data warehouse, and the low latency of a streaming ingest system. Databricks Delta, a key component of the Databricks Unified Analytics Platform that runs in the cloud, eliminates the architectural complexity and operational overhead of maintaining three disparate systems: data lakes, data warehouses and streaming systems. With Delta, enterprise organizations no longer need complex, brittle extract, transform, and load (ETL) processes that run across a variety of systems and create high latency just to obtain access to relevant, business-critical data.”
Ali Ghodsi, cofounder and chief executive officer at Databricks, commented, “Many enterprise organizations are struggling with the limitations of data lakes and data warehouses as well as the complexity of managing both and moving data between them… Delta combines the reliability and performance of data warehouses with the scale of data lakes and low-latency of streaming systems. With this unified management system, enterprises now benefit from a simplified data architecture, up to 100x increase in query performance, and faster access to relevant data – increasing their ability to make decisions that drive results. We have solved a massive struggle facing organizations that are on a mission to run their business in real-time.”
Read more at Globe Newswire.
Photo credit: Databricks