Fusion of API and Visualization Meets Application Deployment and Data Science Needs
SAN FRANCISCO, CA–(Marketwired – Mar 30, 2016) – Databricks, the company behind Apache Spark, today launched a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data-driven applications.
Today’s enterprise data platform must satisfy the disparate needs of multiple constituents as they work together to deploy production data-driven applications. While developers and DevOps teams operate in command line and APIs to automate infrastructure, data scientists demand a visual environment to create algorithms. Without a unified platform, enterprises suffer from a sprawl of tools, leading to long application development cycles and high IT infrastructure complexity. With the addition of secure APIs to an integrated workspace, Databricks natively supports this full spectrum of enterprise needs in one platform — a capability not yet available anywhere else.
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. Added benefits to enterprises include:
- Faster release cycles of Spark applications;
- Higher reliability in Spark infrastructure deployments;
- Improved oversight and management of Apache Spark infrastructure expense in the cloud.
“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.”
“The APIs provided by Databricks combined with its integrated workspace and security framework has allowed us to release our applications twice as often as before,” said Doug Stein, chief technology officer at Metacog. “Instead of waiting for multiple weeks to incorporate improvements into our product, we are now able to do so every week.”
Databricks’ vision is to make big data simple for the enterprise. The company was founded by the team that created and continues to drive Apache Spark, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. Databricks is the largest contributor to the open source Spark project providing 10x more code than any other company. The company has also trained over 20,000 users on Apache Spark, and has the largest number of customers deploying Spark to date. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, contact [email protected].
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Merritt Group for Databricks
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