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Data Virtuality

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Last updated on

Company health

Employee growth
12% increase in the last year
Web traffic
4% decrease in the last quarter
Financing
January 2024 - $510M

Ratings

G2
4.7/5
(20)
Glassdoor
4.0/5
(84)

Data Virtuality description

Data Virtuality (now part of CData) is a data integration and management platform for enterprises. It lets you access data from over 200 sources without moving it all to one place. This means you can analyze data faster and more efficiently, without complex data migrations. Data Virtuality offers tools to help you create a single, unified view of your data, while also providing features for data governance, security, and compliance. The platform can be deployed on-premise, in the cloud, or as a hybrid solution.


Who is Data Virtuality best for

Data Virtuality (now CData) offers a robust data integration platform ideal for medium to large enterprises. Users praise its extensive connector library, powerful SQL engine, and real-time data access capabilities. However, some find the documentation challenging and the web UI unintuitive. Consider Data Virtuality if you need a comprehensive solution for unifying data from diverse sources, but be prepared for a learning curve.

  • Ideal for medium to large enterprises (101+ employees) seeking efficient data integration.

  • Suitable for data-driven businesses across various industries.


Data Virtuality features

Supported

Provides a virtual access layer to over 200 data sources.

Supported

Combines data from different sources into a single, consistent view.

Supported

Offers centralized control and audit features for data management and access.

Supported

Can be deployed on-premise, in the cloud, or as a hybrid solution.

Supported

Combines data virtualization with ETL/ELT functionalities.

Supported

Enables faster analysis by providing live access to data sources.

Supported

Utilizes caching, query push-down, and materialization for optimized performance.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Customer Service

Strongly positive
+1

Ease of Use

Strongly positive
+1

Data Virtuality pricing

The commentary is based on 2 reviews from Data Virtuality G2 reviews.

CData Virtuality offers tailored solutions with options for additional concurrent queries or core-based pricing. For specific pricing details, contact their sales team.

Users sentiment

Strongly positive
+1

See the Data Virtuality pricing page.

Standard
Custom

10 concurrent queries 20 connections Data virtualization ETL/ELT Standard connectors

Professional
Custom

15 concurrent queries 50 connections 1 premium connector Business data shop 1 dev environment Git integration

Enterprise
Custom

25+ concurrent queries Unlimited connections Unlimited premium connectors Multiple development environments Single sign-on (SSO) Massively Parallel Processing (MPP) Clustering


Data Virtuality alternatives

  • Logo of CData Enterprise Data Connectivity Solutions
    CData Enterprise Data Connectivity Solutions
    Connect any data source to any tool, code-free.
    Read more
  • Logo of AWS Glue
    AWS Glue
    Prepares your data for analysis, without complex coding.
    Read more
  • Logo of Talend Data Fabric
    Talend Data Fabric
    Connects, cleans, and shares company data for smarter decisions.
    Read more
  • Logo of StreamSets
    StreamSets
    Build, run, and manage smart data pipelines, anywhere.
    Read more
  • Logo of Keboola
    Keboola
    Connect, prepare, and analyze data without coding.
    Read more
  • Logo of SAP Data Services
    SAP Data Services
    Cleans, transforms, and moves data, prepping it for smart use.
    Read more

Data Virtuality FAQ

  • What is Data Virtuality and what does Data Virtuality do?

    Data Virtuality, now part of CData, is a data integration platform offering a single, virtual view of your data. It connects to 200+ sources, enabling real-time data access and analysis without complex migrations. It features data governance, security, and flexible deployment options.

  • How does Data Virtuality integrate with other tools?

    Data Virtuality integrates with over 200 data sources through pre-built connectors, enabling a unified view of your data without complex migrations. It supports real-time data access and cross-data source joins, offering flexible deployment options (on-premise, cloud, or hybrid).

  • What the main competitors of Data Virtuality?

    Top alternatives to Data Virtuality include AWS Glue, CData Enterprise Data Connectivity Solutions, StreamSets, Keboola, SAP Data Services, and Airbyte. These competitors offer similar data integration and management capabilities for various business needs.

  • Is Data Virtuality legit?

    Data Virtuality, now part of CData, is a legitimate data integration platform. G2 reviews rate it 4.7/5 and users praise its extensive connectors and powerful SQL engine. While some documentation challenges exist, it offers a secure and efficient way to manage data.

  • How much does Data Virtuality cost?

    Data Virtuality offers custom pricing for its Standard, Professional, and Enterprise plans. Contact their sales team to determine product pricing and assess if Data Virtuality is worth the investment for your data integration needs.

  • Is Data Virtuality customer service good?

    Customers praise Data Virtuality's helpful and responsive customer support team, highlighting their quick response times and effective solutions. Users appreciate the readily available assistance, particularly when troubleshooting bugs or unexpected behavior. Several reviews specifically mention the excellent support experience.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.