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DataTorrent [EOL] vs QueryIO comparison

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DataTorrent Logo

DataTorrent [EOL]

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QueryIO

Read 1 QueryIO review
73 views|56 comparisons
100% willing to recommend
Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between DataTorrent [EOL] and QueryIO based on real PeerSpot user reviews.

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Featured Review
Use DataTorrent [EOL]?
Marco Reyes
Stable with good connectivity and good integration capabilities
Ranking
Unranked
In Hadoop
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
Download Free Report
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
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Comparisons
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DataTorrent
QueryIO
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Overview
Information Not Available
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
GE Predix Cloud, PubMatic, Capital One, SilverLink Sensor Network
Information Not Available
Buyer's Guide
Hadoop
April 2024
Download Free Report
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
DOWNLOAD NOW
768,415 professionals have used our research since 2012.

DataTorrent [EOL] doesn't meet the minimum requirements to be ranked in Hadoop while QueryIO is ranked 16th in Hadoop. DataTorrent [EOL] 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". DataTorrent [EOL] 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.