Is Hadoop dragging you down?

Hadoop is a diverse and expanding collection of open source big data infrastructure technologies.

Businesses spend 80% of their time and resources understanding and integrating infrastructure rather than delivering business value.

CDAP accelerates your Hadoop journey

The Cask Data Application Platform (CDAP) integrates and abstracts the underlying infrastructure and provides containers for your data and applications.

CDAP lets you spend more of your time delivering applications and insights.

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 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 find the data in your organization and set up easy access to analyze large volumes of data.

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Latest Events

DBTA Roundtable: Harnessing the Hadoop Ecosystem

August 11, 2016 Watch as Russ Savage presents on Harnessing the Hadoop Ecosystem as part of this round table hosted by the DBTA (Database Trends and Applications). Register now to reserve your seat today!

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Big Data Cloud Meet-up
August 18, 2016

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Global Big Data Conference
August 30 - September 1, 2016

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Recent News

Cask Congratulates Apache Twill on Top-Level Project Status

PALO ALTO, CA--(Marketwired - July 27, 2016) - Cask (cask.co), the company that makes building and deploying big data applications easy, congratulates...

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Cask Named 2016 Great Place to Work®

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Ericsson Becomes Minority Investor in Cask

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Blog

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Bringing Relational Data into Data Lakes

Data lakes comprise of unstructured, semi-structured and structured data. In this blog post, we will describe how to easily and quickly build a data pipeline with Cask Hydrator.

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CDAP – Taking Spark Apps from Prototype to Production

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Tephra moves to Apache Incubation!

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Our Investors

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