Pantheon Odyssey vs Syncsort Connect for Big Data [EOL] comparison

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Executive Summary

We performed a comparison between Pantheon Odyssey and Syncsort Connect for Big Data [EOL] based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Ranking
82nd
out of 100 in Data Integration
Views
105
Comparisons
77
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In Data Integration
Buyer's Guide
Data Integration
April 2024
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
768,246 professionals have used our research since 2012.
Comparisons
Also Known As
Odyssey Platform
Syncsort DMX-h
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Pantheon Inc
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Overview

Pantheon Inc specializes in providing a wide array of products, software development, consulting and support services. Our technical and business consulting services are organized as specific centers of excellence with exclusive focus on the respective technology solutions and toolsets. Pantheon Services holds primary vendor status with many of the Fortune 100 companies. Our service regions include North America, South America, Europe, South Asia, Asia Pacific and Australia.

Connect for Big Data is high-performance data integration software specifically designed for building modern data pipelines with highly scalable, distributed computer frameworks like Spark and MapReduce.

Sample Customers
FLUOR, true, flex, EVgo
PagesJaunes
Buyer's Guide
Data Integration
April 2024
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
768,246 professionals have used our research since 2012.

Pantheon Odyssey is ranked 82nd in Data Integration while Syncsort Connect for Big Data [EOL] doesn't meet the minimum requirements to be ranked in Data Integration. Pantheon Odyssey is rated 0.0, while Syncsort Connect for Big Data [EOL] is rated 0.0. On the other hand, Pantheon Odyssey is most compared with , whereas Syncsort Connect for Big Data [EOL] is most compared with .

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