By Unifying What Data Scientists, Data Engineers, And the Business Are Doing, Databricks Enable Enterprises to Focus on the Actual Problems They Want To Solve

Databricks is one of the leading providers of Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Databricks’ founders started the Spark research project at UC Berkeley, which later became Apache Spark™. They have been working for the past ten years on cutting-edge systems to extract value from Big Data. They believe that Big Data is a huge opportunity that is still largely untapped, and they are working to revolutionize what you can do with it.

Databricks Today

Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production.

The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell and HP.

Open Source Commitment

Apache Spark is an open source, hosted by the vendor-independent Apache Software Foundation. At Databricks, everyone is fully committed to maintaining the open development model. The company believes that no computing platform will win in the Big Data space unless it is fully open. Spark has one of the largest open source communities in Big Data, with over 1000 contributors from 250+ organizations. Databricks works within the open source community to maintain this momentum.

Spark has one of the largest open source communities in Big Data, with over 1000 contributors from 250+ organizations. Databricks works within the open source community to maintain this momentum.

Databricks Solutions

Databricks is marking its territory in the industry with every passing year. The company has a fantastic portfolio of products and service. The amazing offerings by Databricks are one of the significant reasons behind company’s ever-increasing popularity.

Unified Analytics Platform

• Microsoft Azure Databricks: It is a fast, easy, and collaborative Apache Spark based analytics platform optimized for Azure designed in collaboration with Microsoft and the creators of Apache Spark. Azure Databricks combines the best of Databricks and Azure to help customers accelerate innovation with one-click setup, streamlined workflows and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts
• Databricks on AWS: The Databricks unified analytics platform runs on AWS for cloud infrastructure. It harnesses the power of AI through a truly unified approach to data analytics from the team that created Apache Spark

Databricks Runtime

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

The Databricks I/O module (DBIO) takes processing speeds to the next level — significantly improving the performance of Spark in the cloud. The company’s serverless and highly elastic cloud service is designed to remove operational complexity while ensuring reliability and cost efficiency at scale. Also, the fully-managed cloud platform helps in reaping the benefits of a fully managed service and removes the complexity of big data and machine learning.

Databricks Delta

Databricks Delta is a unified data management system that provides the scale and cost-efficiency of a data lake, the reliability, and performance of a data warehouse, and the low latency of a streaming ingest system. This unified data management system is armed with some of the amazing features that can do things like:

• Manage Continuously Changing Data Reliably
• Enable Fast Queries at Massive Scale
• Provide Cost Efficiency and Scale of Data Lakes
• Natively Integrate With the Unified Analytics Platform

Databricks Collaborative Workspace

Databricks offers an interactive workspace for all stakeholders, so one can build data pipelines, train and productionize machine learning models, and share insights into the business all from the same environment.

Security and Compliance

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

Happy Clients

“We were able to take a tool that previously would have been fairly localized to a single region and turn that into a global product which actually is now becoming the foundation for the way our inventory analysts will now do their work.”

- Daniel Jeavons, General Manager , Advanced Analytics CoE, Shell

“Agility and flexibility were critical for us to successfully support our data science and engineering goals. Moving to Databricks’ Unified Analytics Platform to run 100% of our workflows has been a huge boost for our business and our customers.”

- Matt Fryer , VP, Chief Data Science Officer, Hotels.com

Greet the CEO

Ali Ghodsi, Co-founder and Chief Executive Officer: Ali is responsible for the growth and international​ ​expansion of the company. He previously served as the VP of Engineering and Product​ ​Management before taking the role of CEO in January 2016. In addition to his work at Databricks, Ali serves as an adjunct professor at UC Berkeley and is on the board at UC Berkeley’s RiseLab. Ali was one of the creators of open source project, Apache Spark, and ideas from his academic research in the areas of resource management and scheduling and data caching have been applied to Apache Mesos​ ​and Apache Hadoop.​ ​​Ali​ ​received his MBA from Mid-Sweden University in 2003 and PhD from KTH/Royal Institute of Technology in Sweden​ in 2006​ in the area of​ ​Distributed Computing.

“Together with the Spark community, Databricks continues to contribute heavily to the Apache Spark project, through both development and community evangelism.”