--- 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: '2026-06-22' 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, allowing effortless access to multiple data sources with minimal effort. (9 reviews) - Users value the **ease of use and efficiency** of CData Connectors, simplifying data integration across various platforms. (6 reviews) - Users commend the **easy setup** of CData Connectors, enabling quick and effortless integration of various data sources. (5 reviews) - Users value the **implementation ease** of CData Connectors, enabling quick setups and efficient data integration across multiple platforms. (3 reviews) - Users highly value the **seamless integration** of CData Connectors, simplifying connections between diverse applications and databases. (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 to be expensive** , especially for smaller teams, affecting overall accessibility and functionality. (5 reviews) - Users experience **connection issues** that disrupt Power BI functionality and require manual intervention for data refresh. (3 reviews) - Users face **poor performance** with CData Connectors, especially when handling large datasets and complex queries. (3 reviews) - Users experience **data inaccuracy** with CData Connectors, affecting the reliability of reports and analysis in Power BI. (2 reviews) - Users note the need for **performance tuning for large datasets** , as complex queries can be slow and inconsistent. (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. Effortless Data Integration with Reliable Connections **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek D. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 20, 2025 **What do you like best about CData Connectors?** I find CData Connectors incredibly efficient as they allow me to pull data from various sources into a single location effortlessly, bypassing the need to manually integrate APIs. This tool's capability to let me access external systems using straightforward SQL has simplified complex integrations significantly. The extensive library of connectors greatly reduces development time, eliminating the need for creating and maintaining APIs, which aligns perfectly with my limited time resources. The connections provided by CData Connectors are both stable and reliable, ensuring that my data pipelines and BI tools run smoothly without requiring frequent manual corrections. The most impressive aspect is the speed at which CData enables me to integrate multiple platforms, transforming what would typically take days into a matter of minutes. Additionally, I appreciate how easy the initial setup is, as most connectors can be installed quickly through a standard process. Overall, CData Connectors have streamlined my workflow with their seamless and rapid data integration capabilities. **What do you dislike about CData Connectors?** Some connectors feel inconsistent in performance, especially when handling large datasets and complex queries. Occasionally, token refresh issues make certain integrations unreliable. **What problems is CData Connectors solving and how is that benefiting you?** I use CData Connectors to centralize data from various sources without API integration, using simple SQL. It streamlines data integration, automates syncing, and facilitates reliable operative pipelines, drastically speeding up platform integration from days to minutes. ### 3. Demo and dev **Rating:** 2.5/5.0 stars **Reviewed by:** Meresa G. | Data Warehouse and Analystics Officer , Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** July 27, 2023 **What do you like best about CData Connectors?** - It is a real time to access your data - high performance to connect to data source - It is a standardized connectivity **What do you dislike about CData Connectors?** - it is high cost and it is not easily implement - It is not popular or wel known overall the globe **What problems is CData Connectors solving and how is that benefiting you?** I was used to extracting clean data within short time and neat data. - To extract data within real time. - To provide standard sql script. ### 4. Efficient Data Integration with Minor Performance Hiccups **Rating:** 4.5/5.0 stars **Reviewed by:** JULURU P. | I'm a student, Small-Business (50 or fewer emp.) **Reviewed Date:** December 14, 2025 **What do you like best about CData Connectors?** I like CData Connectors for their ease of use and consistency, allowing me to access many different sources using standard SQL/ODBC/JDBC without complex coding. This saves me time. I also enjoy the wide range of supported data sources, strong communication, and strong security. The initial setup was very easy, and the connectors are easy to maintain. We switched from custom-built integrations and native connectors because CData Connectors support more data sources. **What do you dislike about CData Connectors?** One thing it should improve is performance tuning for very large datasets, as complex queries can sometimes be slower. **What problems is CData Connectors solving and how is that benefiting you?** I use CData Connectors to solve complex data integration problems, providing a simple, secure, and standardized way to connect applications with multiple data sources. ### 5. Vast Connectivity Made Simple **Rating:** 5.0/5.0 stars **Reviewed by:** Prathvi P. | Solutions Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 23, 2025 **What do you like best about CData Connectors?** I really appreciate the vast support matrix for various data sources that CData Connectors offers. This extensive compatibility significantly reduces the complexity of managing multiple products, as I can use a single product to efficiently handle the data inflow and outflow. This feature greatly simplifies the process for me, making it much more manageable. Additionally, I find the initial setup of CData Connectors to be quick and straightforward, which saves time and effort during the implementation phase. Overall, these aspects of CData Connectors enhance my experience by providing a comprehensive, user-friendly solution for data ingestion and management. **What do you dislike about CData Connectors?** N/A **What problems is CData Connectors solving and how is that benefiting you?** I use CData Connectors to ingest data from multiple sources in near real-time, simplifying data management and reducing complexity by eliminating the need for multiple products. ### 6. Effortless Integration and User-Friendly Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Shaik c. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** November 19, 2025 **What do you like best about CData Connectors?** Ease of Use & Integration Many users appreciate the straightforward setup process and the intuitive interface, which allow for seamless integration with BI tools such as Power BI and Tableau. This ease of use means that extensive coding is not required, making the integration process much simpler. **What do you dislike about CData Connectors?** The setup process is straightforward for simple integrations, but when it comes to more advanced scenarios—such as implementing custom queries or managing large-scale deployments—it can become quite complex and may demand a higher level of technical expertise. **What problems is CData Connectors solving and how is that benefiting you?** Many businesses face challenges when trying to access data spread across various SaaS applications, databases, and APIs. CData Connectors address this issue by bringing these different sources together into one unified SQL-based interface. ### 7. 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 ### 8. 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. ### 9. Comprehensive Data Connectors **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2023 **What do you like best about CData Connectors?** CData have a comprehensive and wide range of datta connectors for PowerBI. They are stable, performant and backed up by excellent support. They are not simple to set up but thats a balance with the need for fine grained control over various parameters, data mapping and configuration. **What do you dislike about CData Connectors?** Very few downsides except they require a degree of effort to set them up and configure them. But the effort is more than worth the result. It would be nice if an improvement was made to accomodate MFA authentication in the connectors in an easier way than it currently is. **What problems is CData Connectors solving and how is that benefiting you?** Requirment to display and report data in Power BI from various cloud solutions. This is not easy to do without tools like CData connectors as they handle authentication, configuration, field mapping, logging and have the ability to handle vast amounts of data. ### 10. Best Data connecter tool to BA and Data Scientist for data analysis **Rating:** 4.5/5.0 stars **Reviewed by:** manjula m. | Technical manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 31, 2023 **What do you like best about CData Connectors?** Direct Query feature is best in Cdata Power Bi connector as anyother tool doesnt support it. It help us to present the data in best visulize and analyze data. Cdata new feature help us connec data in different resources. **What do you dislike about CData Connectors?** Only challenge in Cdata is need driver to be installed. It would be better if it default driver built up in Power Bi Connector. This is could be one more advantage of security and saftly way of connecting data source. **What problems is CData Connectors solving and how is that benefiting you?** Cdata help our bussiness data to connect with different resource of data like google, excel online , Json data which is easy to analyze the data comes in the form of web services. ### 11. Fully Integrated Power BI connectors **Rating:** 4.5/5.0 stars **Reviewed by:** Nidhi J. | Customer Support Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** July 25, 2023 **What do you like best about CData Connectors?** Cdata PowerBI makes it really easy to connect ,intergrate and automate the enterprise data in real time **What do you dislike about CData Connectors?** The prices are bit high and there data errors and values in wrong field.Some it takes time to get support **What problems is CData Connectors solving and how is that benefiting you?** We were facing problem with data intergration ,which was made easier by using Cdata Power BI connectors ### 12. CData Power BI Connector **Rating:** 4.5/5.0 stars **Reviewed by:** Karan S. | Mid-Market (51-1000 emp.) **Reviewed Date:** July 26, 2023 **What do you like best about CData Connectors?** This makes my data processing easy and updated **What do you dislike about CData Connectors?** Few times when i made changes in my reports and dashboard then the conection was disconnected. other than this everything is fine **What problems is CData Connectors solving and how is that benefiting you?** I Connect my company's database and make reports and dashboard. ### 13. 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. ### 14. 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. ### 15. 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?section=pricing&secure%5Bexpires_at%5D=2026-06-24+09%3A47%3A07+-0500&secure%5Bsession_id%5D=b49505ee-99a9-4f43-a212-b02a40d780e2&secure%5Btoken%5D=fe171e8b18feaa3add1cf71dc2805a574de3424dec7cdc34ea4b4c7e949bcd10&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 **Federation** - Architecture - Provisioning - Orchestration - API / Integrations **Transformation** - Data Visualization - Application Performance - Data Modeling ## Top CData Connectors Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,147 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (804 reviews) - [Workato](https://www.g2.com/products/workato/reviews) - 4.7/5.0 (748 reviews)