Cask vs QueryIO comparison

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Cask Logo
83 views|74 comparisons
QueryIO Logo
73 views|56 comparisons
100% willing to recommend
Executive Summary

We performed a comparison between Cask and QueryIO 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).
768,857 professionals have used our research since 2012.
Featured Review
Marco Reyes
Ranking
14th
out of 22 in Hadoop
Views
83
Comparisons
74
Reviews
0
Average Words per Review
0
Rating
N/A
16th
out of 22 in Hadoop
Views
73
Comparisons
56
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.
768,857 professionals have used our research since 2012.
Comparisons
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QueryIO
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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.

QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
Sample Customers
AT&T, Salesforce, Cloudera, Hortonworks, Lotame, MAPR, Pet360, Ignition, Safeguard, Cloudwick, Kogentix
Information Not Available
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.
768,857 professionals have used our research since 2012.

Cask is ranked 14th in Hadoop while QueryIO is ranked 16th in Hadoop. Cask is rated 0.0, while QueryIO is rated 8.0. On the other hand, the top reviewer of QueryIO writes "Stable with good connectivity and good integration capabilities". Cask is most compared with , whereas QueryIO is most compared with Splice Machine.

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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.