Databricks, the company behind Apache Spark, is releasing a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data-driven applications.
"Agile data-driven application development requires data scientists to work in perfect sync with DevOps, but these teams lack a unified platform to connect their separate workflows," said Ali Ghodsi, CEO of Databricks. "The addition of Databricks APIs will enable these constituents to work seamlessly in one platform, allowing them to act on hidden insights from their data and create unique competitive advantages for the business."
With the addition of secure APIs to an integrated workspace, Databricks natively supports a full spectrum of enterprise needs in one platform.
Databricks users will now have the ability to implement Agile Development best practices, such as continuous integration, in tandem with performing real-time data analysis and visualization.
This new set of API enables faster release cycles of Spark applications, higher reliability in Spark infrastructure deployments, and improved oversight and management of Apache Spark infrastructure expense in the cloud.
For more information about the new APIs, visit www.databricks.com.