Databricks Enterprise Security – Databricks

Databricks Enterprise Security

Secure your big data and ML workflows with a unified approach to data security.

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Databricks Unified Analytics Platform, from the original creators of Apache SparkTM, unifies data and AI with best-in-class security capabilities on the most trusted cloud platforms to accelerate innovation while minimizing risk.


Seamlessly and securely connect teams and data to accelerate innovation


Effortlessly deploy and manage platform while maintaining data governance and access at scale


Partner with someone that values Technology, Trust and Transparency

Knock Down Silos While Keeping Data Secure


Many companies today operate on homegrown DIY (do-it-yourself) data and AI platforms comprised of various open-source tools and technologies. These tools are often times disjointed and different systems have different security paradigms, making it a challenge to replicate policies and ensure security fidelity from one toolset to the next. Databricks brings data engineering and data science teams together in a unified analytics platform with a coherent security model across your data workflow.
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Deploy, Operate & Govern Securely at Scale

As organizations push to leverage their data to make more intelligent decisions, a core requirement is to “Democratize data”. However, this new model of expanded access causes a fair bit of trepidation across organizations, particularly the C-suite, regarding a data breach. The Databricks offering is designed with the specific goal of enabling this balance: maximize end-user productivity and access without sacrificing (and in many cases strengthening) security, governance or compliance.

Learn how Databricks can help you democratize data securely >

A Security First Mindset & Culture

In today’s SaaS era, the vendor manages the software, which requires a strong partnership and deep trust between customer and SaaS provider. For the partnership to succeed in the long term, both parties must be linked by trust and transparency. Databricks is committed to security first. We have created a culture of security best practices and work closely with 3rd parties with an “always be testing” approach.

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The Safest Place to Run Apache Spark

Securing Apache SparkTM, big data and AI workflows is far more complex than traditional data management efforts. Diverse teams need the flexibility to process, analyze, and share large volumes of data. Yet, building and managing the security policies and controls to govern big data technologies can stifle teams and bottleneck innovation. Databricks unique approach to security provides business agility while securing the enterprise.

Protecting Enterprise Data on Apache Spark >

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