--- title: CData Virtuality Reviews meta_title: 'CData Virtuality Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 20 reviews by the users' company size, role or industry to find out how CData Virtuality works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 20 scale: '5' date_modified: '2026-08-07' parent_category: name: Data Integration Tools url: https://www.g2.com/categories/data-integration-tools --- # CData Virtuality Reviews **Vendor:** CData **Category:** [On-Premise Data Integration Software](https://www.g2.com/categories/on-premise-data-integration) **Average Rating:** 4.7/5.0 **Total Reviews:** 20 ## About CData Virtuality CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe or Crédit Agricole use CData Virtuality to build modern data architectures that meet today’s and tomorrow’s business requirements. Imprint: https://www.cdata.com/company/legal/impressum/ Privacy notice: https://www.cdata.com/company/legal/privacy/ ## CData Virtuality Reviews ### 1. DataVirtuality Pipes automates your ETL with excellent support **Rating:** 4.0/5.0 stars **Reviewed by:** Nick S. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2020 **What do you like best about CData Virtuality?** We used DataVirtuality for Salesforce and Jira data and were able to customize absolutely everything we needed to. Support was really excellent -- friendly and quick! **What do you dislike about CData Virtuality?** The Pipes Web UI was not very intuitive and sometimes totally inaccurate. Custom pipe definitions were tricky to get right and lacked version control. **What problems is CData Virtuality solving and how is that benefiting you?** Data transport (extract and load into a Redshift DWH) for Salesforce and Jira. DataVirtuality Pipes enabled us to get up and running very quickly without having to maintain our own infrastructure. ### 2. Highly reccomendable data warehouse solution **Rating:** 4.0/5.0 stars **Reviewed by:** Niels v. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 26, 2018 **What do you like best about CData Virtuality?** Having used Data Virtuality for the past 4.5 years, I can say that Data Virtuality is a solution that is both easy to learn and hard to master (in a positive way). The manner in which we have set up our data driven environment has been made possible through Data Virtuality. The logical data warehouse first enabled us to rapidly access and combine many separate data sources in an ad hoc manner and later, provided us with the tools to set up a well structured, fully featured data integration and data warehouse solution. Data virtuality virtually takes in all data sources and enabled us to process that data for it to be published to any desired client tool, either via a ODBC or JDBC drivers or via the built-in REST service. The support team at Data Virtuality responds very fast and correct to any question and on more than one occasion has gone 'the extra mile' to satisfy our support needs. **What do you dislike about CData Virtuality?** Additional client tools like Tableau, Looker, Excel or PowerBI are a must for business users - it has proven difficult to learn these users to use SQL to extract data in a flexible manner. Data virtuality requires experience in and understanding of logical data warehouse design or training therein to most effectively use the power that the solution offers. **Recommendations to others considering CData Virtuality:** Ideally, set out a strategy/plan out from the beginning in terms of how to use data virtuality's flexibility to it's full potential (best practices can be delivered to you by the company). Having trained personnel on board that know their way around data modeling data processing will help a great deal. **What problems is CData Virtuality solving and how is that benefiting you?** At Springlane, we use Data virtuality for all things data. We integrate data from various data sources to be used company wide for reporting, analysis and forecasting. Through the connection with many different data sources via one relatively simple query interface, we were first able to respond quickly to most questions that our organization had, by simply querying data for any of the connected systems in an ad hoc manner. This helped tremendously with building up our team as the go-to-source for data, more specifically 'the truth' regarding anything not easily found in application's front ends. Data Virtuality's use of virtual schemas, powerful transformation and scheduling capabilities, combined with the best practices provides to us by the the support team, enabled us to undertake the next steps we needed to automate many, if not all of the data preparation we previously did manually and add many more features to boot. The virtual schemas support organizing our work, making it easier to share development over multiple developers and share and re-use created code. The transformation capabilities offered us the means to do without any external tools and truly have a single point of reference for our data related projects, whereas the scheduling ties this all together in automated nightly jobs. ### 3. Simple, Powerful data integration tool **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** October 12, 2018 **What do you like best about CData Virtuality?** Pipes is very simple tool that integrates and automates data import tasks. The Customer Service team has been extremely responsive to any problems we have had. They have been quick to adapt and have proven to be extremely capable. **What do you dislike about CData Virtuality?** For an automated, (mostly) self-service tool, the price is too high. A year commitment is also required, with full prepayment. **What problems is CData Virtuality solving and how is that benefiting you?** We are connecting Amazon MWS data to our own SQL Database. Pipes has greatly improved the efficiency of this process, which makes data and reporting occur must faster. Before Pipes, there were times in the past that we had no choice but to update data via flat files. ## CData Virtuality Discussions - [What is Data Virtuality used for?](https://www.g2.com/discussions/what-is-data-virtuality-used-for) - [View CData Virtuality pricing details and edition comparison](https://www.g2.com/products/cdata-virtuality/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-10+13%3A08%3A18+-0500&secure%5Bsession_id%5D=7c958927-9f30-49fc-b52f-58fc50352d14&secure%5Btoken%5D=a9d3daafcc1af907f0de7d6dcbaaecd0835a278b246cb6f5e4c30201d962b4b9&format=llm_user) ## CData Virtuality Features **Administration** - Database Management - Access Control - Data Security - Remote Access/Control - Version Control - Remote Monitoring & Management - Capacity Management - Configuration Management - File Management - Compliance Management - Service Level Agreement (SLA) Management - Namespace Management - Access Controls/Permissions **Management** - Reporting - Auditing **Data Sourcing** - Data Enrichment - Expandability - Multiple Devices - Email Marketing - Multi-Channel Marketing - Real-Time Data **Management** - Real-Time Analytics - Solution Integration - Infrastructure Compatibility - Monitoring **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/Analytics **Management** - Disaster Recovery - Remote Backup - Storage Formats - Scheduled Backups - On-Demand Restoration **Federation** - Architecture - Provisioning - Orchestration - API / Integrations - Virtual Machine Provisioning - API - Third-Party Integrations **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Intelligence** - Predictive Modeling - Recommendation Engine **Solution Provision** - System Failover - Pay by Usage - Service Provision **Integration** - BI Tool Integration - Data lake Integration **Additional Functionality** - Engagement Tracking - Contact Management - Customer Journey Mapping - Generative AI - API - A/B Testing - Lead Generation - Data Integration - Customer Activity Tracking - Activity Dashboard - Activity Tracking - Campaign Segmentation - Lead Capture - Contact Database - Campaign Management - Behavior Tracking - Real-Time Analytics - Email Management - Lead Qualification - Reporting & Statistics - Template Management - Alerts/Notifications - Predictive Analytics - Surveys & Feedback - Personalization - Campaign Planning - Third-Party Integrations - Behavioral Analytics - Email Tracking - Campaign Analytics - Customer Segmentation - Multi-Channel Communication - Lead Management - Channel Management - AI Copilot - Audience Targeting - GDPR Compliance - Customer Profiles - Customer Database - Multiple Data Sources - Event Triggered Actions - Tagging - Customizable Templates **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Reporting** - Activity Monitoring - Documentation - Alerts/Notifications **Transformation** - Data Visualization - Application Performance - Data Modeling **Deployment** - On-Premise - Cloud **Additional Functionality** - Real-Time Reporting - Real-Time Monitoring - Two-Factor Authentication - Virtual Machine Encryption - Backup and Recovery - File Transfer - Server Monitoring - Secure Data Storage - AI Copilot - Data Migration - Virtual Machine Monitoring - Load Balancing - Remote Update/Installation - Archiving & Retention - Visual Analytics - Virtual Machine Snapshots - Role-Based Permissions - HIPAA Compliant - Performance Monitoring - Activity Dashboard - Desktop/Application Virtualization - Event Logs - Single Sign On - Generative AI - Disaster Recovery - Alerts/Escalation - Automatic Backup - Reporting/Analytics **Security** - Data Encryption - Security and Compliance - Deduplication **Performance ** - Scalability **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping ## Top CData Virtuality Alternatives - [Denodo](https://www.g2.com/products/denodo/reviews) - 4.3/5.0 (39 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (714 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (808 reviews)