Company Blog › Announcements

Dear valued customer, As COVID-19 continues to impact our daily lives, we are thinking about those affected as well as the practitioners who are delivering essential services to so many. As we adjust to a new reality, we want you to know that we have never lost focus on you and have a comprehensive plan...

The top four companies by market cap today (MSFT, APPL, AMZN, GOOG) are all software companies, running their businesses on data. This is a radical departure from a decade ago. Enterprises in every segment are beginning to establish dominance through data. As a bank executive recently told me: “We’re not a finance company, we are...

Gartner has released its 2020 Data Science and Machine Learning Platforms Magic Quadrant, and we are excited to announce that Databricks has been recognized as a Leader. Gartner evaluated 17 vendors for their completeness of vision and ability to execute. We are confident the following attributes contributed to the company's success: Our unique ability to...

We started Databricks in 2013 in a tiny little office in Berkeley with the belief that data has the potential to solve the world’s toughest problems. We entered 2020 as a global organization with over 1000 employees and a customer base spanning from two-person startups to Fortune 10s. In this blog post, let’s take a...

Databricks was proud to be a Platinum sponsor at re:Invent. The past year has been an exciting one for our partnership with AWS, as we built new integrations and deepened existing ones with so many AWS services. re:Invent was a great opportunity to showcase how our joint customers have benefitted from those integrations and we...

This notebook was produced as a collaboration between SafeGraph and Databricks Ryan Fox Squire, Product Data Scientist @ SafeGraph Andrew Hutchinson, Solutions Architect @ Databricks Prasad Kona, Partner Solutions Architect @ Databricks We’ve created this Databricks notebook (.dbc download here), and published this blog, so that you can hit the ground running using SafeGraph Data...

Data Engineering teams deploy short, automated jobs on Databricks. They expect their clusters to start quickly, execute the job, and terminate. Data Analytics teams run large auto-scaling, interactive clusters on Databricks. They expect these clusters to adapt to increased load and scale up quickly in order to minimize query latency. Databricks is pleased to announce...

Spark + AI Summit Europe 2019 came to Amsterdam this past week! Over 2,300 data scientists, data engineers, and global business leaders from 63 different countries descended upon the RAI Amsterdam Convention Centre, for the latest community and open source developments around Apache Spark™, Delta Lake, MLflow, Koalas, and more. Check out the keynote recordings...

The key to solving some of today’s most challenging medical problems lies in the analysis of genomics data. Understanding the impact of the minor changes in an individual’s genome on their overall health is fundamentally a data driven challenge that requires integration across hundreds of thousands of individuals. By analyzing genomes across large cohorts, researchers...

Watch the announcement and demo At today’s Spark + AI Summit in Amsterdam, we announced the availability of the MLflow Model Registry, a new component in the MLflow open source ML platform. Since we introduced MLflow at Spark+AI Summit 2018, the project has gained more than 140 contributors and 800,000 monthly downloads on PyPI, making...