# Azure Data Factory vs Maia Comparison --- ## AI Generated Summary - **G2 reviewers report** that Maia excels in its user-friendly interface, making it particularly appealing for those new to data engineering. Users appreciate the intuitive design that simplifies the process of building ETL pipelines, allowing them to express their logic clearly. - **Users say** Azure Data Factory stands out for its robust low-code/no-code functionality, which enables both technical and non-technical users to create data workflows effortlessly. The drag-and-drop interface is highlighted as a significant advantage, making it accessible for a wider range of users. - **According to verified reviews** , Maia's AI features are a game-changer for users, significantly reducing the time spent on planning and troubleshooting data pipelines. This capability is particularly beneficial for teams looking to streamline their data processes. - **Reviewers mention** that Azure Data Factory offers extensive integration options, supporting over 100 connectors. This flexibility allows users to connect various data sources seamlessly, which is crucial for organizations with diverse data environments. - **G2 reviewers highlight** that while Maia has a strong focus on mid-market users, it may not fully meet the complex needs of larger enterprises. Some users have noted challenges in scaling the solution to fit their specific workflows. - **Users report** that Azure Data Factory's built-in monitoring and logging features enhance its usability, providing valuable insights into data workflows. This capability is particularly appreciated by teams that require robust oversight and management of their data processes. | | Azure Data Factory | Maia | |---|---|---| | **Star Rating** | 4.6 out of 5 | 4.5 out of 5 | | **Total Reviews** | 100 | 125 | | **Largest Market Segment** | Enterprise (59.6% of reviews) | Mid-Market (45.0% of reviews) | | **Entry Level Price** | No pricing available | Contact Us | --- ## Top Pros & Cons ### Azure Data Factory Pros: - Data Integration (7 reviews) - Ease of Use (7 reviews) Cons: - Debugging Difficulty (5 reviews) - Difficult Debugging (4 reviews) ### Maia Pros: - Ease of Use (10 reviews) - Automation (5 reviews) Cons: - Feature Limitations (9 reviews) - Expensive (4 reviews) --- ## Ratings Comparison | Rating | Azure Data Factory | Maia | |---|---|---| | **Meets Requirements** | 9.1 (77 reviews) | 8.7 (99 reviews) | | **Ease of Use** | 8.9 (79 reviews) | 9.0 (101 reviews) | | **Ease of Setup** | 9.0 (44 reviews) | 8.5 (65 reviews) | | **Ease of Admin** | 8.7 (31 reviews) | 8.3 (29 reviews) | | **Quality of Support** | 8.8 (72 reviews) | 8.6 (94 reviews) | | **Has the product been a good partner in doing business?** | 9.1 (30 reviews) | 8.4 (29 reviews) | | **Product Direction (% positive)** | 9.8 (73 reviews) | 9.0 (94 reviews) | --- ## Pricing ### Azure Data Factory #### Entry-Level Pricing No pricing available #### Free Trial No information available ### Maia #### Entry-Level Pricing Plan: For Individuals Price: Contact Us Description: Developer. Start building pipelines with essential features – ideal for light workloads and early exploration. Key Features: - 1 developer user - Unlimited projects - Pre-built connectors [Browse all 3 editions](https://www.g2.com/products/matillion-maia/pricing) #### Free Trial Yes --- ## Features Comparison By Category ### ETL Tools | Product | Score | Reviews | |---|---|---| | **Azure Data Factory** | 9.0/10 | 62 | | **Maia** | 8.6/10 | 96 | #### Management | Feature | Azure Data Factory | Maia | |---|---|---| | **Reporting** | 8.6 (50 reviews) | 7.9 (54 reviews) | | **Auditing** | 8.4 (46 reviews) | 7.8 (56 reviews) | #### Functionality | Feature | Azure Data Factory | Maia | |---|---|---| | **Extraction** | 9.2 (56 reviews) | 8.9 (65 reviews) | | **Transformation** | 9.1 (54 reviews) | 9.2 (65 reviews) | | **Loading** | 9.4 (52 reviews) | 9.1 (64 reviews) | | **Automation** | 9.2 (54 reviews) | 9.1 (75 reviews) | | **Scalability** | 9.1 (51 reviews) | 8.7 (65 reviews) | --- ## Categories **Shared Categories (2):** [ETL Tools](https://www.g2.com/categories/etl-tools), [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) --- ## Reviewer Demographics ### By Company Size | Segment | Azure Data Factory | Maia | |---|---|---| | **Small-Business** | 11.7% | 24.2% | | **Mid-Market** | 28.7% | 45.0% | | **Enterprise** | 59.6% | 30.8% | ### By Industry #### Azure Data Factory - **Information Technology and Services:** 31.6% - **Computer Software:** 12.6% - **Consulting:** 5.3% - **Financial Services:** 5.3% - **Airlines/Aviation:** 4.2% - **Retail:** 4.2% - **Hospital & Health Care:** 3.2% - **Oil & Energy:** 2.1% - **Education Management:** 2.1% - **Logistics and Supply Chain:** 2.1% - **Other:** 27.4% #### Maia - **Information Technology and Services:** 15.9% - **Computer Software:** 13.3% - **Hospital & Health Care:** 6.2% - **Financial Services:** 5.3% - **Retail:** 5.3% - **Manufacturing:** 4.4% - **Insurance:** 4.4% - **Health, Wellness and Fitness:** 3.5% - **Biotechnology:** 2.7% - **Computer & Network Security:** 2.7% - **Other:** 36.3% --- ## Alternatives ### Alternatives to Azure Data Factory - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (399 reviews) - [dbt](https://www.g2.com/products/dbt/reviews) — 4.7/5 stars (209 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) — 4.3/5 stars (202 reviews) - [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) — 4.0/5 stars (73 reviews) - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) — 4.2/5 stars (26 reviews) - [Pentaho Data Integration](https://www.g2.com/products/pentaho-data-integration/reviews) — 4.3/5 stars (17 reviews) - [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) — 4.3/5 stars (110 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1224 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (800 reviews) - [Workato](https://www.g2.com/products/workato/reviews) — 4.7/5 stars (777 reviews) ### Alternatives to Maia - [dbt](https://www.g2.com/products/dbt/reviews) — 4.7/5 stars (209 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) — 4.3/5 stars (202 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (800 reviews) - [Integrate.io](https://www.g2.com/products/integrate-io/reviews) — 4.3/5 stars (212 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (399 reviews) - [Hevo Data](https://www.g2.com/products/hevo-data/reviews) — 4.4/5 stars (291 reviews) - [Stitch](https://www.g2.com/products/stitch-2026-01-09/reviews) — 4.4/5 stars (68 reviews) - [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) — 4.2/5 stars (26 reviews) - [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) — 4.0/5 stars (117 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1343 reviews) --- ## Top Discussions ### Azure Data Factory - Title: [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) — 2 comments > **Top comment:** "Yes Azure Data Factory is a No-Code ETL tool. Very easy to use." ### Maia - Title: [What is Matillion ETL used for?](https://www.g2.com/discussions/what-is-matillion-etl-used-for) — 1 comment *(includes official response)* > **Top comment:** "ETL is central to data engineering, but legacy tools keep teams tied to code. Matillion’s Data Productivity Cloud powers Maia, the first true agentic data..." --- **Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/azure-data-factory-vs-matillion-maia)