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  3. CData Virtuality
Logo of CData Virtuality

CData Virtuality

byCData
in
4.8
Market Presence: Data Integration Tools, Data Virtualization (Retired)

Overview

Product Information on CData Virtuality

Updated 29th October 2025

What is CData Virtuality?

CData Virtuality is a software that enables data integration and virtualization by providing a platform to connect, combine, and query data from various sources in real time. The software allows users to create a unified data layer without moving or replicating data, supporting access through standard interfaces like SQL. It facilitates the process of integrating structured and unstructured data from databases, cloud applications, and other systems, streamlining data delivery for analytics and reporting. CData Virtuality helps organizations address challenges related to data fragmentation by offering features for real time data access, centralized management, and security controls. The software aims to improve data workflows by supporting efficient data connectivity and querying across heterogeneous environments.

CData Virtuality Pricing

CData Virtuality software uses a subscription-based pricing model with options based on the number of data sources, deployment flexibility, and user requirements. Pricing varies depending on on-premises or cloud deployment and additional features such as support or advanced connectors can affect the overall cost. Custom quotes are typically provided based on organizational needs and usage level.

Overall experience with CData Virtuality

Data Engineer
500M - 1B USD, Healthcare and Biotech
FAVORABLE

“DV: An excellent tool for data integration”

5.0
Mar 28, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
There are no reviews in this category.
CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 29th April 2025

CData Software provides data integration and connectivity solutions that enable access to data from a wide range of on-premises and cloud-based applications. Designed to support diverse deployment environments—including on-premises, cloud, and hybrid—CData solutions simplify how users connect, integrate, and work with data. By facilitating easy and secure data access across systems, CData helps organizations accelerate decision-making, improve process efficiency, and advance data-driven initiatives.

Company Details

Updated 5th May 2025
Year Founded
2014
Head office location
Chapel Hill, United States
Number of employees
201 - 500
Website
https://www.cdata.com/

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Peer Discussions

CData Virtuality Reviews and Ratings

4.8

(8 Ratings)

Rating Distribution

5 Star
75%
4 Star
25%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data Engineer
    50M-1B USD
    Healthcare and Biotech
    Review Source

    DV: An excellent tool for data integration

    5.0
    Mar 28, 2025
    Overall, DV is a perfect tool for data integration and process automation. With the addition of support for external Python libraries and some minor improvements in performance, it will be an even more powerful tool for your complex data processing tasks.
  • Data Engineer
    50M-1B USD
    Healthcare and Biotech
    Review Source

    DV: An excellent tool for data integration

    5.0
    Mar 28, 2025
    Overall, DV is a perfect tool for data integration and process automation. With the addition of support for external Python libraries and some minor improvements in performance, it will be an even more powerful tool for your complex data processing tasks.
  • Read All 8 Reviews

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Reviewer Insights for: CData Virtuality

CData Virtuality Likes & Dislikes

Like

It is a robust data federation tool that offers a seamless unified layer to access and process data from a multiple data sources all in a single interface. Its user-friendly environment enables users to easily query databases from various vendors, APIs, and flat files all using SQL. This significantly improves your data integration and processing tasks in terms of performance and maintainability. In addition, the functionalities to have a complete automated data processing pipeline is very impressive. Users can intuitively create and schedule jobs that can access tables, views, and stored procedures from numerous data sources and perform complex processing tasks periodically with minimal effort. Query optimizer tool is also very effective in enhancing performance that makes retrieval and processing more efficient.

Like

It is a robust data federation tool that offers a seamless unified layer to access and process data from a multiple data sources all in a single interface. Its user-friendly environment enables users to easily query databases from various vendors, APIs, and flat files all using SQL. This significantly improves your data integration and processing tasks in terms of performance and maintainability. In addition, the functionalities to have a complete automated data processing pipeline is very impressive. Users can intuitively create and schedule jobs that can access tables, views, and stored procedures from numerous data sources and perform complex processing tasks periodically with minimal effort. Query optimizer tool is also very effective in enhancing performance that makes retrieval and processing more efficient.

Like

It is a robust data federation tool that offers a seamless unified layer to access and process data from a multiple data sources all in a single interface. Its user-friendly environment enables users to easily query databases from various vendors, APIs, and flat files all using SQL. This significantly improves your data integration and processing tasks in terms of performance and maintainability. In addition, the functionalities to have a complete automated data processing pipeline is very impressive. Users can intuitively create and schedule jobs that can access tables, views, and stored procedures from numerous data sources and perform complex processing tasks periodically with minimal effort. Query optimizer tool is also very effective in enhancing performance that makes retrieval and processing more efficient.