Cask helps developers and organizations deliver Hadoop solutions more quickly and effectively with the open source

Cask Data App Platform

HadoopforDevelopers

Why CDAP

Hadoop is a complex distributed system of many open source projects. While Hadoop enables a broad range of use cases at massive scale and with disruptive economics, it also poses significant challenges that limit adoption and usage by developers and organizations.

CDAP aims to address many of these challenges.

1Hadoop is a complex distributed system with low-level APIs

Hadoop Challenge

Specialized skills are required for using Hadoop preventing most developers from effectively building solutions.

CDAP Solution

High-level concepts and APIs enable any Java developer to use Hadoop.

Hadoop Challenge

Business logic and infrastructure APIs have no clear separation, burderning app developers.

CDAP Solution

Abstractions hide complexity and provide reusable patterns for app developers.

Hadoop Challenge

Automated testing of end-to-end solutions is impractical or impossible.

CDAP Solution

Integrated testing framework and dev-ops tools for end-to-end testing of complex solutions.

2Hadoop is a diverse collection of many open source projects

Hadoop Challenge

Understanding multiple technologies and hand-coding integration between them.

CDAP Solution

An integrated platform that removes the need for boilerplate code.

Hadoop Challenge

Significant effort is wasted on simple tasks like data ingestions and ETL.

CDAP Solution

Built-in data ingestion and UI-based ETL to get going in minutes.

Hadoop Challenge

Moving from proof-of-concept to production is difficult and can take months or quarters.

CDAP Solution

Enterprise-ready runtime environment to get applications into production in weeks.

3Hadoop is more than just offline storage and batch analytics

Hadoop Challenge

Different processing paradigms require data to be stored in specific ways.

CDAP Solution

All data is automatically available for real-time, batch and ad-hoc SQL processing.

Hadoop Challenge

Real-time and batch ingestion requires deeply integrating several components.

CDAP Solution

Integrated scale-out-real-time and batch high-throughput data ingestion.

Hadoop Challenge

Common data patterns often require but don’t support data consistency and correctness.

CDAP Solution

Framework-level correctness provides guaranteed consistency and correctness.

Learn more about CDAP

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