CONNX Data Virtualization vs Toad Data Point comparison

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Executive Summary

We performed a comparison between CONNX Data Virtualization and Toad Data Point based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Pricing and Cost Advice
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  • "The cost of this product is reasonable."
  • "The price of Toad Data Point was approximately $500 annually."
  • More Toad Data Point Pricing and Cost Advice →

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    Top Answer:The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is… more »
    Top Answer:The price of Toad Data Point was approximately $500 annually.
    Top Answer:Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it… more »
    Ranking
    71st
    out of 100 in Data Integration
    Views
    192
    Comparisons
    169
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    38th
    out of 100 in Data Integration
    Views
    771
    Comparisons
    649
    Reviews
    1
    Average Words per Review
    513
    Rating
    8.0
    Comparisons
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    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.
    Sample Customers
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    Concordia University
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm34%
    Healthcare Company11%
    Government8%
    Insurance Company7%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise5%
    Large Enterprise84%
    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.

    CONNX Data Virtualization is ranked 71st in Data Integration while Toad Data Point is ranked 38th in Data Integration with 2 reviews. CONNX Data Virtualization is rated 0.0, while Toad Data Point is rated 9.0. On the other hand, the top reviewer of Toad Data Point writes "Easy to learn, good connectivity to multiple data sources, and helpful supprt". CONNX Data Virtualization is most compared with , whereas Toad Data Point is most compared with SSIS, SAS Enterprise Guide, Alteryx, Oracle Data Integrator (ODI) and Azure Data Factory.

    See our list of best Data Integration vendors.

    We monitor all Data Integration 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.