Databricks for Data Science

Unleash the Power of Machine Learning and AI

Data is everywhere and is being generated at a breakneck pace. This is creating a massive opportunity for organizations to harness data science to transform their business in new ways.

From retailers predicting what product you are likely to purchase to life sciences companies unlocking the potential of genomic data to solve the world’s greatest medical mysteries, data science is allowing us to unearth hidden patterns, trends, and useful insights to accelerate innovation.

What Makes Data Science so Hard?

  • Spending too much time managing Infrastructure

  • Data exploration at scale is difficult and costly

  • Need to integrate various machine learning tools together

  • Model training is resource intensive

  • Poor collaboration due to siloed teams

  • Complexities around model deployment

A Unified Approach to Data Science

A cloud-native platform that abstracts the complexities of Apache Spark management, resulting in a highly elastic, reliable and performant platform to build innovative products.

  • AUTOMATED CLUSTER MANAGEMENT

    Launch expertly-tuned Spark clusters with a few clicks. Databricks’ Spark clusters are fully managed and automatically scale to your workload.

  • OPTIMIZED FOR PERFORMANCE

    Built on top of Spark and native to the cloud, Databricks Runtime optimizes Spark, making it 10-40x faster and more reliable.

  • ENTERPRISE SECURITY


    Databricks protects your data at every level with a unified security model featuring fine-grained controls, data encryption, identity management, rigorous auditing, and support for compliance standards.

Databricks takes the pain of cluster management away so we can focus on data science and not DevOps.
Brent Schneeman, Principal Data Scientist, HomeAway

Accelerate Innovation with Collaborative Data Science

Increase the productivity of your data science team by 4-5x through collaboration
and the democratization of data and insights.

  • COLLABORATIVE WORKSPACE

    Speed up iterative model building and tuning with interactive notebooks purpose-built to instill collaboration across teams.

  • SUPPORT FOR MULTIPLE PROGRAMMING LANGUAGES

    Interactively query large-scale data sets in R, Python, Scala, or SQL.

  • BUILT-IN VISUALIZATIONS

    Visualize insights through a wide assortment of point-and-click visualizations. Or use powerful scriptable options like matplotlib, ggplot, and D3.

  • HIGHLY EXTENSIBLE

    Make use of popular libraries within your notebook or job such as scikit-learn, nltk ML, pandas, etc.

Databricks’ unified platform has helped foster collaboration across our data science and engineering teams which has impacted innovation and productivity.
John Landry, Distinguished Technologist, HP, Inc.

Share Insights via Interactive Dashboards

Share insights with your colleagues and customers, or let them run
interactive queries with Spark-powered dashboards.

  • ONE-CLICK PUBLISHING

    Create shareable dashboards from notebooks with a single click. One notebook can be tailored into multiple dashboard views.

  • CONTINUOUS UPDATES

    Publish dashboards and schedule the content to be updated continuously.

  • PARAMETERIZED DASHBOARDS

    Enable non-technical users to perform scenario analysis directly from published dashboards.

  • DASHBOARD WIDGETS

    Input widgets allow you to parameterize your dashboards.

Databricks Dashboards radically streamlined data-driven decision making at Sellpoints.
Benny Blum, VP of Product and Data, Sellpoints