Databricks Empowers Enterprises to Secure Their Apache Spark Workloads
Company Becomes First Vendor to Provide an End-to-End Security Framework for Apache Spark
(firmenpresse) - SAN FRANCISCO, CA -- (Marketwired) -- 06/08/16 -- , the company founded by the team that created Apache® Spark™, today announced the completion of the first phase of the Databricks Enterprise Security (DBES) framework, making it the first company to provide end-to-end enterprise security for open source Apache Spark. The announcement was made at in San Francisco.
Traditionally, enterprise organizations have only had security solutions that addressed parts of their big data infrastructure. This model is no longer sufficient as enterprises demand holistic security that covers the full spectrum of their big data lifecycle, ranging from file processing, big data clusters, code management, job workflows, application deployments, and dashboards, to reporting.
DBES combines encryption, integrated identity management, role-based access control, data governance, and compliance standards to secure Apache Spark workloads in an end-to-end security framework:
Provides strong encryption at rest and inflight with best-in-class standards such as SSL and keys stored in AWS Key Management System (KMS).
Facilitates seamless integration with enterprise identity providers via SAML 2.0 and Active Directory.
Enables fine-grain management access to every component of the enterprise data infrastructure, including files, clusters, code, application deployments, dashboards, and reports.
Guarantees the ability to monitor and audit all actions taken in every aspect of the enterprise data infrastructure.
Achieves security compliance standards that exceed the high standards of FedRAMP as part of Databricks' ongoing DBES strategy.
End-to-end security requirements are top-of-mind for today's enterprises that are building advanced analytics solutions," said Ali Ghodsi, CEO at Databricks. "Yet building a truly secure, multi-tenant, and cloud-based enterprise data platform proves to be an impossible undertaking for most. We're delighted to be the first vendor to solve this problem comprehensively for Apache Spark, allowing enterprises to maximize the value from their data without compromising compliance and security."
Databricks Enterprise Security builds upon the extensive Databricks access management and encryption functionalities that already exist. With the completion of DBES Phase One today, Databricks gains additional security capabilities such as:
Individuals have permissions to create, terminate, or run code on existing Apache Spark clusters. This offers a central authority the ability to protect the access to production resources or to limit the expenditure associated with launching new resources to a few trusted entities;
A central authority can grant and revoke access via a SAML 2.0 compatible identity provider service to safeguard enterprise resources as needed;
A comprehensive record of activity, allowing users to monitor detailed usage patterns of Databricks as the business requires.
"ESG research shows the number one attribute sought in evaluating a big data/analytics solution is now security. As Apache Spark grows rapidly in production environments, satisfying the stringent operational requirements of the enterprise becomes critical. Databricks is accelerating the maturity of their just-in-time data platform built on top of open source Apache Spark in important ways," said Nik Rouda, Senior Analyst at Enterprise Strategy Group.
The new features are available today to all Databricks customers. To sign up for Databricks, visit or contact .
To learn more, read the Databricks blog post here:
Databricks' vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created 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 Apache 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 provides a just-in-time data platform, to simplify data integration, real-time experimentation, and robust deployment of production applications. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, contact .
© Databricks 2016. All rights reserved. Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.
Suzanne Block
Merritt Group for Databricks
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P: 617-824-0981
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Datum: 08.06.2016 - 16:00 Uhr
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