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Databricks

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Posted by: Databricks Inc.

A single platform for big data processing, from the creators of Spark.

Overview


A unified platform for building Big Data pipelines – from ETL to Exploration and Dashboards, to Advanced Analytics and Data Products.

 

Explore your data

Interactively analyze, visualize, and curate your data – big or small. Leverage Python, SQL, or Scala and seamlessly weave together advanced analytics, streaming data and interactive queries. Collaborate with colleagues in real-time to discover insights.

 

Publish your insights

Build live dashboards that capture insights from your data exploration. Allow colleagues to interact with and customize visualizations. Automatically update dashboards and underlying queries in response to changing data.

 

Put your insights to work

Scale the insights you’ve discovered by building data products that deliver value to your business and customers. Schedule execution of notebooks you’ve built or standard Spark jobs – either periodically or based on changes in the underlying data. Watch the extended demo.

 

Provision resources in seconds

Dynamically provision and scale managed clusters. Seamlessly import data – from S3, local uploads, and a variety of other sources. Fault tolerance, security, and resource isolation provided out of the box. Advanced management and monitoring tools to understand usage.

Specifications

  • Hosted platform on Databricks AWS or within your own AWS.

Seller

Databricks was founded out of the UC Berkeley AMPLab by the creators of Apache Spark. We’ve been working for the past six years on cutting-edge systems to extract value from Big Data. We believe that Big Data is a huge opportunity that is still largely untapped, and we’re working to revolutionize what you can do with it.

Apache Spark is 100% open source, and at Databricks we are fully committed to maintaining this model. We believe that no computing platform will win in the Big Data space unless it is fully open-source. Spark has one of the largest open source communities in Big Data, with over 300 contributors from 50+ organizations. Databricks works closely with the community to maintain this momentum.

Headquarters
160 spear street,
San Francisco,
United States
www.databricks.com

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