Featured Customers & Partners

Cask Data Application Platform (CDAP)

CDAP is 100% open source platform that provides both data integration and app development capabilities on Apache Hadoop and Spark. The platform helps you future proof your big data investments, provides rapid time to value, and empowers your business users with a self-service user experience. Learn More

Paths to Success

Whether you are an application developer or an infrastructure developer or somewhere in between, CDAP enables you to do more, faster, with better results. Collaborate easily with others by packaging up your code or tuning expertise with our reusable data patterns and application templates.

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Building a modern solution on Hadoop requires stitching together more than 47 different projects. CDAP solves the complexity of this integration requirement by creating an abstraction layer between the infrastructure of Hadoop and the development of your business applications. In doing so, it minimizes the business risk of your projects by reducing your time to market, time to value, and overall TCO.

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Administrations and operations in an enterprise company need the tools necessary to configure and operationalize systems to ensure high availability and reliability and to be able to migrate new jobs into production in a way that is easy to manage and monitor. Currently tools for Hadoop are fragmented and don't provide a single view of all systems.

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As a data scientist in your organization, you need to find the data in your organization and set up easy access to analyze large volumes of data.

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Developer

Whether you are an application developer or an infrastructure developer or somewhere in between, CDAP enables you to do more, faster, with better results. Collaborate easily with others by packaging up your code or tuning expertise with our reusable data patterns and application templates.

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CXO

Building a modern solution on Hadoop requires stitching together more than 47 different projects. CDAP solves the complexity of this integration requirement by creating an abstraction layer between the infrastructure of Hadoop and the development of your business applications. In doing so, it minimizes the business risk of your projects by reducing your time to market, time to value, and overall TCO.

Learn More

Admin/Ops

Administrations and operations in an enterprise company need the tools necessary to configure and operationalize systems to ensure high availability and reliability and to be able to migrate new jobs into production in a way that is easy to manage and monitor. Currently tools for Hadoop are fragmented and don't provide a single view of all systems.

Learn More

Data Scientist

As a data scientist in your organization, you need to find the data in your organization and set up easy access to analyze large volumes of data.

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Upcoming Events

Webinar: Building Reliable, Code-Free Data Pipelines with Apache Spark December 7, 2017

Join Nitin Motgi, Cask CTO and co-founder, in this live webinar and learn how to quickly and easily build and deploy reliable, production-ready…

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Strata Data Conference | San… March 6-8, 2018

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Blog

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Building a Data Lake on Google Cloud Platform with CDAP

It is no secret that traditional platforms for data analysis, like data warehouses, are difficult and expensive to scale, to meet the current data demands for storage and compute. And purpose-built platforms designed to process big data..

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Strata Data NYC 2017 Recap: Multi-Cloud, AI and More

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Better collaboration and productivity: Cloud-based software development at Cask

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Our Investors

Cask is backed by leading technology investors
who understand the transformative power of big data.