Cask vs Qubole Data Services comparison

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Cask Logo
83 views|74 comparisons
Qubole Logo
74 views|60 comparisons
Executive Summary

We performed a comparison between Cask and Qubole Data Services based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Ranking
14th
out of 22 in Hadoop
Views
83
Comparisons
74
Reviews
0
Average Words per Review
0
Rating
N/A
15th
out of 22 in Hadoop
Views
74
Comparisons
60
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
767,847 professionals have used our research since 2012.
Comparisons
Also Known As
QDS
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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.

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

Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, Kogentix
Ola Cabs, GetSmart, AdIQuity, Glossom, Station X, Indix, TA telecom, bloomreach, Universal Music Group, Videoplaza, Sokrati, Flipboard, DEMAND BASE, Black Book, ImplementHIT, Answers.com, DataXu, DataLogix, Under Armour Connected Fitness, Quantdeck, Capillary, PubMatic, YouGov, Quora, Insightera, Komli Media, Pinterest, MediaMath, yieldr, TubeMogul, Saavn, Merkle, Nextdoor
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
767,847 professionals have used our research since 2012.

Cask is ranked 14th in Hadoop while Qubole Data Services is ranked 15th in Hadoop. Cask is rated 0.0, while Qubole Data Services is rated 0.0. On the other hand, Cask is most compared with , whereas Qubole Data Services is most compared with .

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.