--- title: Azure Data Factory Reviews meta_title: 'Azure Data Factory Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 100 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: 100 scale: '5' date_modified: '2026-08-04' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # Azure Data Factory Reviews **Vendor:** Microsoft **Category:** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) **Average Rating:** 4.6/5.0 **Total Reviews:** 100 ## About Azure Data Factory Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies. ## Azure Data Factory Pros & Cons **What users like:** - Users love the **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows and enhancing productivity. (7 reviews) - Users value the **ease of use** of Azure Data Factory, simplifying data integration with its low-code visual interface. (7 reviews) - Users appreciate the **seamless connectivity** of Azure Data Factory for integrating diverse data sources with minimal coding. (6 reviews) - Users value the **seamless integration capabilities** of Azure Data Factory, simplifying complex data workflows across various sources. (6 reviews) - Users value the **scalability** of Azure Data Factory, enabling them to effortlessly manage and integrate vast data sources. (5 reviews) - Users appreciate the **low code interface and integration flexibility** of Azure Data Factory for its usability and efficiency. (5 reviews) - Users benefit from the **automation capabilities** of Azure Data Factory, simplifying complex data integration and transformation tasks. (4 reviews) - Easy Integrations (4 reviews) - Flexibility (4 reviews) - Connectors Quantity (3 reviews) **What users dislike:** - Users find the **debugging difficulty** in Azure Data Factory frustrating, particularly for complex pipelines and troubleshooting failures. (5 reviews) - Users find **difficult debugging** with Azure Data Factory, often facing challenges in troubleshooting complex pipelines effectively. (4 reviews) - Users find Azure Data Factory to be **expensive** due to unpredictable costs linked to pipeline executions and data movements. (4 reviews) - Users find the **feature limitations** of Azure Data Factory hinder their ability to efficiently monitor and integrate with Power BI. (4 reviews) - Users find Azure Data Factory's **complexity and limitations** challenging, particularly with debugging and managing intricate workflows. (3 reviews) - Users find **complex usability** in Azure Data Factory, particularly in debugging and managing intricate pipelines. (3 reviews) - Users find the **error reporting** in Azure Data Factory unclear, making troubleshooting more challenging and time-consuming. (3 reviews) - Limitations (3 reviews) - Users find **complex processes** in Azure Data Factory overwhelming, particularly when debugging and managing intricate workflows. (2 reviews) - Users often experience **connectivity issues** with Azure Data Factory, leading to frustrating downtime during service outages. (2 reviews) ## Azure Data Factory Discussions - [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) - 2 comments - [View Azure Data Factory pricing details and edition comparison](https://www.g2.com/products/azure-data-factory/reviews?page=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-05+10%3A37%3A12+-0500&secure%5Bsession_id%5D=14208bf1-ae3a-477e-bc7e-7b0877fdf730&secure%5Btoken%5D=126e4ede0e4d96a7c0096b1fbc880951f14523863ed744997b5e0fb30702dfcb&format=llm_user) ## Azure Data Factory Integrations - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Amazon Simple Email Service (Amazon SES)](https://www.g2.com/products/amazon-simple-email-service-amazon-ses/reviews) - [Azure Blob Storage](https://www.g2.com/products/azure-blob-storage/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Google Ads](https://www.g2.com/products/google-ads/reviews) - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) ## Azure Data Factory Features **Management** - Reporting - Auditing **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **** - 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 ## Top Azure Data Factory Alternatives - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - 4.4/5.0 (375 reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - 4.7/5.0 (208 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - 4.3/5.0 (194 reviews)