Compare CONNX Data Virtualization vs. Toad Data Point

CONNX Data Virtualization is ranked 72nd in Data Integration Tools while Toad Data Point is ranked 40th in Data Integration Tools. CONNX Data Virtualization is rated 0, while Toad Data Point is rated 0. On the other hand, CONNX Data Virtualization is most compared with , whereas Toad Data Point is most compared with SSIS, Alteryx and SAS Access.
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Ranking
72nd
Views
15
Comparisons
13
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
40th
Views
1,207
Comparisons
943
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Top Comparisons
Compared 32% of the time.
Compared 23% of the time.
Compared 11% of the time.
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Software AG
Quest Software
Overview

CONNX data virtualization solutions unite data from any source – legacy, relational and non-relational – and lend the appearance of centralization without all the inherent risks. The new federated data source protects the integrity and upholds the security of all the contributing data sources while delivering all the benefits of a unified database. It also enables optimal flexibility and control for choosing the best analytics tools for your needs, keeping costs in line with budget and user expectations.

Your CONNX-enabled unified database is fast, receiving and sharing incremental data changes with no impact on underlying systems or data stores. You can share more data with more people, empowering better decision making throughout the organization without tampering with underlying database configurations or compromising best-of-breed application requirements. It’s hero time.

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.
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Concordia University
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: May 2020.
420,062 professionals have used our research since 2012.
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