--- title: CData Connectors Reviews meta_title: 'CData Connectors Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 15 reviews by the users' company size, role or industry to find out how CData Connectors works for a business like yours. aggregate_rating: rating_value: 4.2 review_count: 15 scale: '5' date_modified: '2026-08-09' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # CData Connectors Reviews **Vendor:** CData **Category:** [Data Virtualization Software](https://www.g2.com/categories/data-virtualization) **Average Rating:** 4.2/5.0 **Total Reviews:** 15 ## About CData Connectors CData Drivers & Connectors is a data connectivity platform that provides standards-based drivers and connectors for real-time access to over 300 SaaS applications, databases, APIs, and big data sources. The solution enables organizations to integrate live data from any source into their existing BI tools, analytics platforms, ETL processes, and custom applications using familiar interfaces like ODBC, JDBC, ADO.NET, and Python without requiring data replication or complex custom coding. This data integration software serves enterprises, mid-market companies, and development teams who need to connect disparate data sources for business intelligence, reporting, analytics, application development, and data warehousing initiatives. Users can access live data from popular platforms including Salesforce, SharePoint, QuickBooks, SAP, NetSuite, Snowflake, Amazon Redshift, and MongoDB through a unified SQL interface that eliminates the technical complexity of API integration. Key Features and Benefits: • Universal Data Connectivity: Access 300+ data sources through a single platform with support for major database systems, cloud applications, NoSQL databases, and web APIs, reducing integration complexity and development time • Standards-Based Integration: Native support for ODBC, JDBC, ADO.NET, Python, Excel, SSIS, and PowerShell enables seamless integration with existing tools and applications without requiring specialized technical expertise • Live Data Access: Real-time connectivity ensures users always work with current information without data movement, replication, or synchronization delays, maintaining data accuracy and reducing storage costs • High-Performance Architecture: Optimized drivers feature dynamic metadata discovery, intelligent caching, query pushdown optimization, and parallel processing capabilities that deliver enterprise-grade performance for large-scale data operations The platform processes over 2.7 billion queries monthly across 7,000+ enterprise customers and has been recognized in the 2024 Gartner Magic Quadrant for Data Integration Tools, demonstrating proven scalability and market validation for mission-critical data connectivity requirements. ## CData Connectors Pros & Cons **What users like:** - Users value the **ease of use** of CData Connectors, simplifying access to various data sources effortlessly. (9 reviews) - Users laud CData Connectors for their **ease of use and efficiency** , facilitating seamless data integration across multiple platforms. (6 reviews) - Users value the **easy setup** of CData Connectors, allowing for quick connections and efficient data integration. (5 reviews) - Users value the **implementation ease** of CData Connectors, appreciating their straightforward setup and reliable configuration process. (3 reviews) - Users commend the **seamless integration** of CData Connectors, enhancing connectivity across various platforms effortlessly. (3 reviews) - Users praise the **excellent customer support** provided by CData Connectors, ensuring a smooth experience with complex setups. (2 reviews) - Users value the **effortless data integration** capabilities of CData Connectors, enhancing workflow efficiency and saving significant time. (2 reviews) - Users love the **easy integrations** with various platforms, streamlining data connection and automation effortlessly. (2 reviews) - Performance (2 reviews) - Analytics (1 reviews) **What users dislike:** - Users find the pricing options for CData Connectors **expensive** , especially for smaller teams, causing frustration. (5 reviews) - Users face **connection issues** with CData Connectors, affecting data population and automatic refresh in Power BI. (3 reviews) - Users highlight **poor performance** issues, particularly with large datasets and complex queries, affecting integration reliability. (3 reviews) - Users report **data inaccuracy** and issues with auto-refresh, impacting the reliability of CData Connectors. (2 reviews) - Users find that CData Connectors need **performance tuning for large datasets** , as complex queries can slow down processing. (2 reviews) - Users find that **complex processes** arise in advanced integrations, requiring significant technical knowledge for effective implementation. (1 reviews) - Users face **configuration issues** that require effort, especially with MFA authentication implementation in CData Connectors. (1 reviews) - Connectivity Issues (1 reviews) - Difficult Setup (1 reviews) - Learning Curve (1 reviews) ## CData Connectors Reviews ### 1. Reliable Connectors with Potential for Cost Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul Kumar T. | Mulesoft Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about CData Connectors?** I like CData Connectors because they simplify connectivity between our software and databases like MySQL and other SaaS applications. The connectors are reliable, easy to configure, and save a lot of development time compared to building custom connectors. The documentation is clear and helps with API-related connectivity. CData Connectors fit well into agile projects where faster delivery is important, and they handle integration well, whether in real-time or batch processing. It's also great that they work reliably with systems like Salesforce ERP platforms and fit nicely into projects requiring fast and reliable data access. **What do you dislike about CData Connectors?** The licensing cost can be high for enterprise use cases involving multiple connectors. Performance tuning is sometimes required when working with large data volumes. There is a small learning curve during the initial setup for new users, although documentation helps. **What problems is CData Connectors solving and how is that benefiting you?** CData Connectors simplify connectivity between systems like Salesforce and databases like MySQL, eliminating the need for custom connectors. They standardize integration, boost development speed, and enhance data reliability in real-time and batch integration. ### 2. Easy Integrations, But Pricing Could Be Friendlier for Small Businesses **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 13, 2025 **What do you like best about CData Connectors?** Cdata connector makes easy integration with different different platform ERP or CRMs **What do you dislike about CData Connectors?** Price is bit high for small organisation **What problems is CData Connectors solving and how is that benefiting you?** Removed the the need for custom apis and no need for jdbc development for external or third party api integration ### 3. CData - Power BI connector **Rating:** 4.0/5.0 stars **Reviewed by:** Srikanth B. | Associate Lead, Process Excellence, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** August 20, 2023 **What do you like best about CData Connectors?** With a single click I would be able to access the Jira details for a particular project. Along with it I was able to access multiple projects at once and easy to access. **What do you dislike about CData Connectors?** Not all the fields are getting poppulated in the Power BI. The pricess are little expensive and the data was not automatically refreshed even if we set the auto refresh duration. The application needs to be open for the data to get refresh **What problems is CData Connectors solving and how is that benefiting you?** When it is connected with the analytics application, It helped me to plan the work and also estimate the resourses that we need for the upcoming projects and also help to cross train the existing resourses. ### 4. Object Relational Mappers Automation with CData Python Connectors **Rating:** 4.0/5.0 stars **Reviewed by:** Sudhakar N S. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2021 **What do you like best about CData Connectors?** CData Python Connectors has a wide variety of code library functions that helps in the automation of data transfer present in relational databases. It allows me to write my application code in Python instead of SOL to create, read, update and delete data & schema present in the corresponding database. The main advantage of using CData Python Connectors that I find in my organization is I can comfortably work with Python. This offers various capabilities such as dynamic execution, vast libraries support, portability in multiple platforms, and has enormous third-party module inclusions. **What do you dislike about CData Connectors?** Since CData Python Connectors have a python-based API, it's easy to pick up the application code flow. Even people who are freshly starting with object mapping can quickly restructure it based on the requirements. I find no difficulty in quality and ease of use. So none to dislike about it. **Recommendations to others considering CData Connectors:** I would recommend Data Python Connectors for seamless ORM Automation & DB-API procurements in on-premise relational databases. Apart from this, it can also be used for data visualization, data transformation, and custom business data-driven applications thanks to its powerful in-built SOL engine, which manages all code interpretations. **What problems is CData Connectors solving and how is that benefiting you?** CData Python Connectors inhibits a built-in SQL engine that is chiefly responsible for all the data movement automation and processing from on-premise databases. It's accurate and efficient as it interprets the code that I write in Python and is fantastic for my data-centric architecture. Also, it provides additional data integration solution services that improve reliability, manages data transfer scalability, optimize modular performances, and ensure security compliances for Database API. ### 5. Good for embedded data warehousing **Rating:** 3.5/5.0 stars **Reviewed by:** Sagar K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** December 27, 2021 **What do you like best about CData Connectors?** How easy it is to generate and API key and use it to connect to multiple databases. **What do you dislike about CData Connectors?** It is a little slow when used with Databricks. **What problems is CData Connectors solving and how is that benefiting you?** Mainly for Data Integration where I gather data from different sources and merge them together. ### 6. CData Driver review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) **Reviewed Date:** December 21, 2021 **What do you like best about CData Connectors?** It helps me to connect to Salesforce with real-time data from Microsoft Access database. **What do you dislike about CData Connectors?** There are errors when I tried to run some complex queries **What problems is CData Connectors solving and how is that benefiting you?** I tried to connect to Salesforce with real-time data from Microsoft Access database. ## CData Connectors Discussions - [What is CData Query Federation Driver used for?](https://www.g2.com/discussions/what-is-cdata-query-federation-driver-used-for) - [What is CData Python Connectors used for?](https://www.g2.com/discussions/cdata-python-connectors-what-is-cdata-python-connectors-used-for) - [What is CData Driver Technologies used for?](https://www.g2.com/discussions/cdata-driver-technologies-what-is-cdata-driver-technologies-used-for) - [What is CData Python Connectors used for?](https://www.g2.com/discussions/what-is-cdata-python-connectors-used-for) - [What is CData Driver Technologies used for?](https://www.g2.com/discussions/what-is-cdata-driver-technologies-used-for) - [View CData Connectors pricing details and edition comparison](https://www.g2.com/products/cdata-connectors/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A15%3A06+-0500&secure%5Bsession_id%5D=241956d1-0c56-4be5-b3d3-ca67ff2004f1&secure%5Btoken%5D=258a7f6427bacbc0c4a7c3df01c9245cbd59756dc4e2815b628a635e26be49d1&format=llm_user) ## CData Connectors Integrations - [Advanced ETL Processor](https://www.g2.com/products/advanced-etl-processor/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) ## CData Connectors 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 **Federation** - Architecture - Provisioning - Orchestration - API / Integrations - Virtual Machine Provisioning - API - Third-Party Integrations **Transformation** - Data Visualization - Application Performance - Data Modeling **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 ## Top CData Connectors Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (860 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (808 reviews)