--- title: Azure Data Factory Reviews meta\_title: 'Azure Data Factory Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 101 reviews by the users' company size, role or industry to find out how Azure Data Factory works for a business like yours. aggregate\_rating: rating\_value: 4.6 review\_count: 101 scale: '5' date\_modified: '2026-08-09' parent\_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- ### Azure Data Factory Pros and Cons: Top 5 Advantages and Disadvantages #### Quick AI Summary Based on G2 Reviews Generated from real user reviews Users love the **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows and enhancing productivity. [(7 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776955&qs=pros-and-cons#reviews) Users value the **ease of use** of Azure Data Factory, simplifying data integration with its low-code visual interface. [(7 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777089&qs=pros-and-cons#reviews) Users appreciate the **seamless connectivity** of Azure Data Factory for integrating diverse data sources with minimal coding. [(6 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776942&qs=pros-and-cons#reviews) Users value the **seamless integration capabilities** of Azure Data Factory, simplifying complex data workflows across various sources. [(6 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777048&qs=pros-and-cons#reviews) Users value the **scalability** of Azure Data Factory, enabling them to effortlessly manage and integrate vast data sources. [(5 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777267&qs=pros-and-cons#reviews) Users find the **debugging difficulty** in Azure Data Factory frustrating, particularly for complex pipelines and troubleshooting failures. [(5 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777503&qs=pros-and-cons#reviews) Users find **difficult debugging** with Azure Data Factory, often facing challenges in troubleshooting complex pipelines effectively. [(4 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776886&qs=pros-and-cons#reviews) Users find Azure Data Factory to be **expensive** due to unpredictable costs linked to pipeline executions and data movements. [(4 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777281&qs=pros-and-cons#reviews) Users find the **feature limitations** of Azure Data Factory hinder their ability to efficiently monitor and integrate with Power BI. [(4 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777313&qs=pros-and-cons#reviews) Users find Azure Data Factory's **complexity and limitations** challenging, particularly with debugging and managing intricate workflows. [(3 mentions)](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=2373481&qs=pros-and-cons#reviews) ### 5 Pros or Advantages of Azure Data Factory ##### 1. Data Integration Users love the **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows and enhancing productivity. [ See 7 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776955&qs=pros-and-cons#reviews) See Related User Reviews ![parth p.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "parth p.") PP parth p. Enterprise (\> 1000 emp.) 4.5/5 "Powerful, Scalable Data Integration with Azure Data Factory" What do you like about Azure Data Factory? Azure data factory is very powerful when it comes to data integration at scale from data sources like Azure blob storage and Azure SQL databases. The ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you like about Azure Data Factory? Its ability to orchestrate and automate complex data integration workflows at scale. Its low-code, visual interface makes it easy to build and monitor ##### 2. Ease of Use Users value the **ease of use** of Azure Data Factory, simplifying data integration with its low-code visual interface. [ See 7 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777089&qs=pros-and-cons#reviews) See Related User Reviews ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you like about Azure Data Factory? Its ability to orchestrate and automate complex data integration workflows at scale. Its low-code, visual interface makes it easy to build and monitor ![Dinesh G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dinesh G.") DG Dinesh G. Small-Business (50 or fewer emp.) 4.0/5 "Effortless Data Integration and Automation with Azure Data Factory" What do you like about Azure Data Factory? What’s great about ADF is how easy it makes connecting all my different data sources whether they’re on-prem or in the cloud without having to write a ##### 3. Connectors Users appreciate the **seamless connectivity** of Azure Data Factory for integrating diverse data sources with minimal coding. [ See 6 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776942&qs=pros-and-cons#reviews) See Related User Reviews ![Nishant A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nishant A.") NA Nishant A. Enterprise (\> 1000 emp.) 5.0/5 "Essential for ETL and Data Ingestion with Seamless Integration" What do you like about Azure Data Factory? Azure Data Factories have been heavily implemented in our Organization and most of them are used for ETL/ELT, parsing data, etc I use the connectors ![Dinesh G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dinesh G.") DG Dinesh G. Small-Business (50 or fewer emp.) 4.0/5 "Effortless Data Integration and Automation with Azure Data Factory" What do you like about Azure Data Factory? What’s great about ADF is how easy it makes connecting all my different data sources whether they’re on-prem or in the cloud without having to write a ##### 4. Integrations Users value the **seamless integration capabilities** of Azure Data Factory, simplifying complex data workflows across various sources. [ See 6 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777048&qs=pros-and-cons#reviews) See Related User Reviews ![parth p.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "parth p.") PP parth p. Enterprise (\> 1000 emp.) 4.5/5 "Powerful, Scalable Data Integration with Azure Data Factory" What do you like about Azure Data Factory? Azure data factory is very powerful when it comes to data integration at scale from data sources like Azure blob storage and Azure SQL databases. The ![Abhishek B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhishek B.") AB Abhishek B. Enterprise (\> 1000 emp.) 4.5/5 "Effortless Data Integration and Pipeline Management with Azure Data Factory" What do you like about Azure Data Factory? A good things about Azure Data Factory is its easy integration with strong integration with veriety of data sources. Building pipelines are the easies ##### 5. Scalability Users value the **scalability** of Azure Data Factory, enabling them to effortlessly manage and integrate vast data sources. [ See 5 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777267&qs=pros-and-cons#reviews) See Related User Reviews ![parth p.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "parth p.") PP parth p. Enterprise (\> 1000 emp.) 4.5/5 "Powerful, Scalable Data Integration with Azure Data Factory" What do you like about Azure Data Factory? Azure data factory is very powerful when it comes to data integration at scale from data sources like Azure blob storage and Azure SQL databases. The ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you like about Azure Data Factory? Its ability to orchestrate and automate complex data integration workflows at scale. Its low-code, visual interface makes it easy to build and monitor ### 5 Cons or Disadvantages of Azure Data Factory ##### 1. Debugging Difficulty Users find the **debugging difficulty** in Azure Data Factory frustrating, particularly for complex pipelines and troubleshooting failures. [ See 5 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777503&qs=pros-and-cons#reviews) See Related User Reviews ![Abhishek B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhishek B.") AB Abhishek B. Enterprise (\> 1000 emp.) 4.5/5 "Effortless Data Integration and Pipeline Management with Azure Data Factory" What do you dislike about Azure Data Factory? The only thing looks difficult about Azure Data Factory is debugging is not very user friendly sometimes. The errors/ issues are not clear always and ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you dislike about Azure Data Factory? While Azure Data Factory is a powerful orchestration tool, some limitations include limited debugging capabilities for complex pipelines and the lack ##### 2. Difficult Debugging Users find **difficult debugging** with Azure Data Factory, often facing challenges in troubleshooting complex pipelines effectively. [ See 4 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1776886&qs=pros-and-cons#reviews) See Related User Reviews ![Abhishek B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhishek B.") AB Abhishek B. Enterprise (\> 1000 emp.) 4.5/5 "Effortless Data Integration and Pipeline Management with Azure Data Factory" What do you dislike about Azure Data Factory? The only thing looks difficult about Azure Data Factory is debugging is not very user friendly sometimes. The errors/ issues are not clear always and ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you dislike about Azure Data Factory? While Azure Data Factory is a powerful orchestration tool, some limitations include limited debugging capabilities for complex pipelines and the lack ##### 3. Expensive Users find Azure Data Factory to be **expensive** due to unpredictable costs linked to pipeline executions and data movements. [ See 4 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777281&qs=pros-and-cons#reviews) See Related User Reviews ![Abhishek B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhishek B.") AB Abhishek B. Enterprise (\> 1000 emp.) 4.5/5 "Effortless Data Integration and Pipeline Management with Azure Data Factory" What do you dislike about Azure Data Factory? The only thing looks difficult about Azure Data Factory is debugging is not very user friendly sometimes. The errors/ issues are not clear always and ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you dislike about Azure Data Factory? While Azure Data Factory is a powerful orchestration tool, some limitations include limited debugging capabilities for complex pipelines and the lack ##### 4. Feature Limitations Users find the **feature limitations** of Azure Data Factory hinder their ability to efficiently monitor and integrate with Power BI. [ See 4 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=1777313&qs=pros-and-cons#reviews) See Related User Reviews ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you dislike about Azure Data Factory? While Azure Data Factory is a powerful orchestration tool, some limitations include limited debugging capabilities for complex pipelines and the lack ![MANISH P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "MANISH P.") MP MANISH P. Mid-Market (51-1000 emp.) 5.0/5 "ADF- Best Cloud ETL Tool" What do you dislike about Azure Data Factory? The ADF is very limited logging of pileine and monitoring the pipeline ##### 5. Complexity Users find Azure Data Factory's **complexity and limitations** challenging, particularly with debugging and managing intricate workflows. [ See 3 mentions ](https://www.g2.com/products/azure-data-factory/reviews?filters%5Bsentiment_snippet%5D=2373481&qs=pros-and-cons#reviews) See Related User Reviews ![parth p.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "parth p.") PP parth p. Enterprise (\> 1000 emp.) 4.5/5 "Powerful, Scalable Data Integration with Azure Data Factory" What do you dislike about Azure Data Factory? The private networking setup is bit convoluted from administration standpoint. we had issues initially making Azure data factory working privately wit ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") I Verified User Small-Business (50 or fewer emp.) 4.5/5 "Effortless Data Integration with Powerful Automation and Scalability" What do you dislike about Azure Data Factory? While Azure Data Factory is a powerful orchestration tool, some limitations include limited debugging capabilities for complex pipelines and the lack ## Top-Rated Alternatives [ ![Fivetran](https://images.g2crowd.com/uploads/product/hd_favicon/1526948884/fivetran.svg "Fivetran") Fivetran 4.3/5(828) ](https://www.g2.com/products/fivetran/reviews) [ ![SnapLogic Intelligent Integration Platform (IIP)](https://images.g2crowd.com/uploads/product/hd_favicon/0021dc388e13d6da6730275f35cbb77f/snaplogic-intelligent-integration-platform-iip.svg "SnapLogic Intelligent Integration Platform (IIP)") SnapLogic Intelligent Integration Platform (IIP) 4.4/5(404) ](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) [ ![dbt](https://images.g2crowd.com/uploads/product/hd_favicon/fb5962d21f726bb78733c336e00ac3ef/dbt.svg "dbt") dbt 4.7/5(209) ](https://www.g2.com/products/dbt/reviews) [ View All Alternatives ](https://www.g2.com/products/azure-data-factory/competitors/alternatives) SS Shyam s. Data Engineer Mid-Market (51-1000 emp.) 5/4/2026 "Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users" 4.5/5 What do you like best about Azure Data Factory? The best part is its low-code/no-code (drag-and-drop) functionality. It makes development easier for developers and also makes the process more understandable for business users. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? Sometimes it’s hard to debug. I need to check why a record is not populated before the sink. Since all my tables have a lot of data, once I join them it becomes even more, and then it’s difficult to verify why a specific record isn’t coming through. To figure it out, I have to go back and change the source table, filter down to that record, and then see which join or filter isn’t working. That’s hard and time-consuming. The parameterization syntax is also an issue and can be difficult to work with. It would help if we had AI integration for this. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? We use it for ETL to migrate all source data to SQLMI. We also use it as an orchestration tool: we call the SQLMI procedures from there, and since our company is an enterprise, we have certain SSIS packages that are all orchestrated here as well. Overall, it’s a tool that helps us properly populate data in our warehouse. and from there we have outbound system salesforce and power bi where we have reports that helps for the daily discission in business Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Alan R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Alan R.") AR Alan R. Software Engineer Mid-Market (51-1000 emp.) 3/9/2026 "Intuitive, Scalable Data Integration with Azure Data Factory" 4.5/5 What do you like best about Azure Data Factory? Azure Data Factory makes it much easier to build and manage data integration workflows in the cloud. The visual pipeline designer is intuitive and allows you to create complex data workflows without writing large amounts of code. It supports a wide variety of data sources and destinations, which makes integrating systems across databases, storage accounts, APIs, and SaaS platforms very straightforward. Another strong point is the scalability and reliability of the platform. Data pipelines can handle large volumes of data, and scheduling or triggering pipelines based on events is easy to configure. The integration with other Azure services like Azure Storage, Synapse, and monitoring tools also makes it a strong component of a modern data platform. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? Azure Data Factory helps us automate and orchestrate data movement and transformation across multiple systems. Instead of building custom scripts or manual workflows, we can design pipelines that reliably move and process data on schedules or event triggers. This reduces operational overhead and ensures data is consistently available for analytics and reporting. It also improves scalability, as pipelines can handle increasing data volumes without requiring major infrastructure changes. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Elisa L.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Elisa L.") EL Elisa L. Consultant Data&AI Mid-Market (51-1000 emp.) 4/29/2026 "Powerful centralized orchestration, but it takes time to become truly intuitive" 3.5/5 What do you like best about Azure Data Factory? I especially like its ability to orchestrate pipelines in a centralized and quite intuitive way. Azure Data Factory is designed precisely to create and schedule data-driven workflows, with native integration with many Azure sources and services. If I have to be more specific, the main advantage for me is that it allows me to organize data flows: I connect different sources, automate recurring steps, and control everything from a single environment, without having to manually manage each individual transfer. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? One aspect I don't particularly appreciate about Azure Data Factory is the lack of immediacy in the environment, which often doesn't seem intuitive, especially in the initial stages. The presence of many components and configuration steps makes its use less streamlined than expected and requires time to become familiar with the tool's logic. As a result, some tasks become more cumbersome, especially when working on complex pipelines or having to manage frequent changes. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? Azure Data Factory primarily helps you solve the problem of manual and fragmented data flow management: it centralizes ingestion, transformation, and orchestration into a single cloud service, reducing repetitive tasks and dependency on different solutions. The benefit for me is that you can automate pipelines, schedule processes, and monitor everything from a single environment, with less manual intervention and more operational continuity. Moreover, with many connectors and support for hybrid scenarios, it allows you to integrate different sources without having to build ad hoc solutions each time, providing a concrete advantage in terms of time, reliability, and scalability. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: OrganicAI Translated ![Asad A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Asad A.") AA Asad A. Data Engineer Computer Software Enterprise (\> 1000 emp.) 1/30/2026 "Azure Data Factory: Enterprise-Grade Orchestration with Practical, Reusable Pipelines" 5/5 What do you like best about Azure Data Factory? What I like best about Azure Data Factory (ADF) is that it hits a really nice spot between enterprise-grade orchestration and day-to-day practicality. A few highlights that genuinely stand out: Orchestration without friction: ADF is excellent at coordinating many moving parts: Blob storage, ADLS Gen2, Azure SQL, Synapse, Databricks, Functions, REST APIs, without forcing you to glue everything together manually. Pipelines, triggers, and dependencies feel very natural once you’ve used them a bit. Clear separation of concerns: The way ADF separates control flow (pipelines, activities, triggers) from data processing (Spark, SQL, Functions) is a big win. It doesn’t try to be the compute engine; it just orchestrates things cleanly and lets the right service do the heavy lifting. Parameterization & reusability: Pipelines, datasets, and linked services are highly parameterizable. This makes it easy to build config-driven ingestion frameworks (single pipeline, many sources), which scales really well in real enterprise setups. First-class integration with the Azure ecosystem: Native integration with Synapse, Key Vault, Event Grid, Functions, and Managed Identity is a huge plus. Secure access without secrets flying around is something you really appreciate in production. Operational visibility: Monitoring, retry logic, failure paths, and alerts are built in. When something breaks at 3 a.m., you can quickly see what failed, why, and with what input, without digging through logs for hours. Low barrier to entry, high ceiling: You can start with simple copy pipelines very quickly but still grow into advanced patterns: metadata-driven pipelines, conditional branching, dynamic execution, and hybrid solutions with Spark or Functions. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? ADF is an excellent tool at orchestration, but it can feel clunky for debugging, complex logic, and large-team development. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? Azure Data Factory (ADF) mainly solves the problem of coordinating complex data workflows across many systems, and that has been a big productivity win for me. What problems ADF solves? Disparate data sources: In real projects, data lives everywhere: cloud storage, databases, APIs, SaaS tools. ADF provides a single, consistent way to connect to and move data between all of them. Workflow orchestration complexity: Managing dependencies, schedules, retries, and failure handling across multiple jobs is hard. ADF centralizes this logic, so pipelines run in the right order with clear control flow. Environment and security management: Handling credentials, secrets, and access securely can get messy. ADF’s native integration with Managed Identity and Key Vault simplifies this significantly. Operational visibility: Without orchestration, it’s difficult to know what ran, what failed, and why. ADF gives built-in monitoring, logging, and alerting for data pipelines. Scalability and reliability: As data volumes and pipeline counts grow, manual or script-based approaches don’t scale well. ADF provides a managed, scalable service without needing to operate infrastructure. How this benefits me? I spend less time on glue code and scheduling logic, and more time on actual data modeling and transformation. Pipelines are repeatable, auditable, and production-ready, which is critical in enterprise environments. Failures are easier to detect and recover from, reducing operational overhead. I can design config-driven, reusable pipelines instead of one-off jobs, which improves maintainability and team collaboration. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Souparna C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Souparna C.") SC Souparna C. Consultant Enterprise (\> 1000 emp.) 4/30/2026 "Easy Drag-and-Drop Workflows for Everyone" 4.5/5 What do you like best about Azure Data Factory? It offers a drag and drop interface that allows users to build data workflows very easily, even non-technical users can leverage it while a technical user can still write a custom code if needed. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? Certain limitations like 5000 entities per factory and a limit of 120 activities per pipeline can be a bummer. Also, there are certain restrictions on concurrent operations. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? It helps me build robust scalable pipelines which are very easy to diagnose for failure. It helps me generate real time data insights, enabling faster data driven decision making. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 Icon 5/4/2026 Current UserValidated ReviewerIncentivizedSource: G2 invite YM Yuvashree M. Senior Data Engineer Mid-Market (51-1000 emp.) 4/22/2026 "Scalable, Secure Data Pipelines with 100+ Connectors and Strong Azure Integration" 4/5 What do you like best about Azure Data Factory? Supports 100+ connectors (SQL, NoSQL, SaaS, Self-hosted IR). It offers scalable execution using Azure-managed compute, along with built-in monitoring, logging, and alerting. It also supports CI/CD with Azure DevOps and GitHub integration, and includes RBAC for secure access. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? Limited error details and fragmented logs make it harder to debug pipelines. Dependency management and error handling in pipelines can also get complex, especially across enterprise-scale implementations. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? In my project, we automated all enterprise-level client data flows using ADF, following best practices and implementing strong error handling. ADF solves key challenges around data integration, pipeline automation, and scalability. It also addresses the problem of data silos by enabling centralized orchestration and seamless integration across data sources and processes. Review collected by and hosted on G2.com. Show More 4/24/2026 Validated ReviewerIncentivizedSource: G2 invite FP Fabin P. Senior Software Engineer Mid-Market (51-1000 emp.) 4/6/2026 "Component based ETL Tool and Connectivity" 5/5 What do you like best about Azure Data Factory? It is easy to use, and component based which is good for us to learn quickly and also the multiple connectors Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? This is good in all aspects but while it comes to compute or other storage aspects it would be more cost consumptions compared to other ETL tools. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? Azure Data Factory helps solve key challenges around data integration, orchestration, and automation across multiple systems. In many projects, data is spread across different sources like databases, APIs, and cloud storage, which makes it complex to manage and unify. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Dinesh G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dinesh G.") DG Dinesh G. Lead Digital Cloud Architect - Hybrid Cloud Small-Business (50 or fewer emp.) 11/7/2025 "Effortless Data Integration and Automation with Azure Data Factory" 4/5 What do you like best about Azure Data Factory? What’s great about ADF is how easy it makes connecting all my different data sources whether they’re on-prem or in the cloud without having to write a lot of code. I can visually drag and drop to build complex data pipelines, automate repetitive data tasks, and seamlessly move and transform huge volumes of data as my projects grows. I can also monitor and manage everything from one place, which takes a lot of stress out of dealing with data integration and makes life much simpler for everyone involved. Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? The things I dislike most about ADF are usually around its complexity and limitations. Debugging pipelines is often tricky and can be frustrating, especially when something fails, there aren’t many tools for step-by-step troubleshooting. If my workflow is complex, managing and understanding everything can get overwhelming with so many moving pieces and screens to keep track of. Additionally, its integration with non-Azure services is quite limited, so I may run into roadblocks if I need to connect other platforms or work in a Azure cloud setup. And while it handles simple tasks well, customizing things beyond standard connectors or data flows often means writing extra code or finding difficult workarounds. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? ADF helps to solve the headache of moving, combining, and transforming data from all sorts of different sources like databases, spreadsheets and cloud storage into one place where it’s actually useful. Instead of wasting my time setting up manual processes or dealing with multiple tools, I can automate everything and track it from a single dashboard. For me, this means less busywork, fewer errors, and a much easier time getting clean, reliable data for reporting or analysis, so I can focus more on my projects goals and less on chasing down technical hassles. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Ankit K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ankit K.") AK Ankit K. Business Analyst Information Technology and Services Small-Business (50 or fewer emp.) 3/12/2026 "Easy, Scalable ETL Orchestration with Strong Azure Integration" 5/5 What do you like best about Azure Data Factory? easy ETL pipeline orchestration, strong integration with Azure services, visual pipeline builder, scalable data movement, scheduling and monitoring features, good for cloud data migration Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? debugging pipelines can be difficult, monitoring logs lack detail, UI can feel slow, complex pipelines become hard to manage, limited version control support Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? automating ETL pipelines, orchestrating data workflows across services, simplifying cloud data migration, reducing manual data movement, improving data pipeline reliability Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 Icon 4/21/2026 Current UserValidated ReviewerIncentivizedSource: G2 invite ![Ravi V.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ravi V.") RV Ravi V. Data Engineer Mid-Market (51-1000 emp.) 4/6/2026 "Review for ADF" 5/5 What do you like best about Azure Data Factory? I loved the ecosystem of the ADF and also love the UI and User Experience of the ADF Review collected by and hosted on G2.com. What do you dislike about Azure Data Factory? Debugging and error tracing in pipelines is often limited and tedious. Performance can be slow or hard to tune for large or complex data volumes. Review collected by and hosted on G2.com. What problems is Azure Data Factory solving and how is that benefiting you? ADF mainly solves data‑integration and orchestration problems. It lets you move, transform, and automate data flows across on‑premises and cloud systems without manually coding or managing servers Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ## Work at Microsoft? Claim this profile to respond to reviews, update product info, and reach in-market buyers. [ Claim this profile ](https://www.g2.com/products/azure-data-factory/claim_requests/new?utm_medium=profile-footer-claim-cta&utm_source=g2) ##### Categories on G2 [ETL Tools](https://www.g2.com/categories/etl-tools)[Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) ##### Explore More [What solution offers the best integration with EHR systems?](https://www.g2.com/discussions/what-solution-offers-the-best-integration-with-ehr-systems)[Which admissions and enrollment management software maintains comprehensive audit trails for compliance?](https://www.g2.com/discussions/which-admissions-and-enrollment-management-software-maintains-comprehensive-audit-trails-for-compliance)[Top APM solutions for mobile app businesses](https://www.g2.com/discussions/top-apm-solutions-for-mobile-app-businesses) [Which file converter tools have security and data protection compliance built in so legal and IT teams can approve them without a lengthy review process?](https://www.g2.com/discussions/which-file-converter-tools-have-security-and-data-protection-compliance-built-in-so-legal-and-it-teams-can-approve-them-without-a-lengthy-review-process)[PIM software with best customer reviews](https://www.g2.com/discussions/pim-software-with-best-customer-reviews)[Pros and Cons Details](https://www.g2.com/products/azure-data-factory/reviews?qs=pros-and-cons) [Show MoreShow Less](javascript:void(0);)