Cask vs. DataTorrent

As of February 2019, Cask is ranked 11th in Hadoop vs DataTorrent which is ranked 10th in Hadoop. Cask is most compared with Hortonworks Data Platform, BlueData and Informatica Big Data Parser. DataTorrent is most compared with Apache Spark.
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Cask Logo
916 views|501 comparisons
DataTorrent Logo
1,665 views|241 comparisons
Ranking
11th
out of 24 in Hadoop
Views
916
Comparisons
501
Reviews
0
Followers
62
Avg. Rating
N/A
10th
out of 24 in Hadoop
Views
1,665
Comparisons
241
Reviews
0
Followers
60
Avg. Rating
N/A
Find out what your peers are saying about Apache, Hortonworks, Cloudera and others in Hadoop. Updated: January 2019.
317,758 professionals have used our research since 2012.
Top Comparisons
Compared 75% of the time.
Compared 13% of the time.
Compared 6% of the time.
Compared 100% of the time.
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Cask
DataTorrent
Overview

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.

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Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, KogentixGE Predix Cloud, PubMatic, Capital One, SilverLink Sensor Network
Find out what your peers are saying about Apache, Hortonworks, Cloudera and others in Hadoop. Updated: January 2019.
317,758 professionals have used our research since 2012.
We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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