Compare Cask vs. Hortonworks Data Platform

Cancel
You must select at least 2 products to compare!
Cask Logo
550 views|433 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2020.
442,986 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
Information Not Available
"It is priced well and it is affordable"

More Hortonworks Data Platform Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
442,986 professionals have used our research since 2012.
Ranking
12th
out of 23 in Hadoop
Views
550
Comparisons
433
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
out of 23 in Hadoop
Views
3,265
Comparisons
2,107
Reviews
2
Average Words per Review
546
Avg. Rating
9.0
Popular Comparisons
Compared 17% of the time.
Compared 12% of the time.
Compared 8% of the time.
Compared 7% of the time.
Also Known As
Hortonworks, HDP
Learn
Cask
Cloudera
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.

Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world's data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data.
Offer
Learn more about Cask
Learn more about Hortonworks Data Platform
Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, KogentixMayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company39%
Media Company15%
Comms Service Provider8%
Transportation Company6%
Company Size
No Data Available
REVIEWERS
Small Business27%
Midsize Enterprise18%
Large Enterprise55%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2020.
442,986 professionals have used our research since 2012.
Cask is ranked 12th in Hadoop while Hortonworks Data Platform is ranked 3rd in Hadoop with 3 reviews. Cask is rated 0.0, while Hortonworks Data Platform is rated 8.6. On the other hand, the top reviewer of Hortonworks Data Platform writes "Provides a complete solution and just one user interface that can manage all the packages". Cask is most compared with Informatica Big Data Parser, Apache Spark and Qubole Data Services, whereas Hortonworks Data Platform is most compared with Amazon EMR, Cloudera Distribution for Hadoop, Apache Spark, MapR and Cloudera DataFlow.

See our list of best Hadoop vendors.

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.