Cask Data Application Platform (CDAP) is the first Unified Platform for Big Data. It provides standardization and deep integrations with diverse Hadoop technologies allowing companies to focus on application logic and insights, rather than infrastructure and integration. The platform is 100% open-source, highly extensible, and delivers enterprise-class features to help accelerate time to build, deploy, and manage data-centric applications & data lakes on Hadoop and Spark.
There are 3 extensions packaged with CDAP: Cask Hydrator, Cask Wrangler and Cask Tracker. CDAP Extensions are self-service, purpose-built applications on CDAP designed to solve common and critical big data challenges. Cask Hydrator for data pipelines, Cask Wrangler for data wrangling and Cask Tracker for data discovery and metadata.
CDAP removes barriers to innovation as an extensible and future-proof platform that provides consistency across environments and easily integrates with existing MDM, BI, and security solutions.
A self-managing and self-optimizing data platform. Constantly analyzes and learns about your big data platform’s usage through combination of heuristics and machine learning.
Provides actionable Alerts, Insights and Recommendations (AIR) to optimize reliability, performance and costs.
Automatically enacts policies through a number of Cloud Agents to eliminate the need for repetitive manual actions
Cask is ranked 12th in Hadoop while Qubole Data Services is ranked 13th in Hadoop. Cask is rated 0.0, while Qubole Data Services is rated 0.0. On the other hand, Cask is most compared with Hortonworks Data Platform, Apache Spark and Informatica Big Data Parser, whereas Qubole Data Services is most compared with Amazon EMR and Cloudera Distribution for Hadoop.
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