Compare Azure Data Factory and Matillion 
- Users report that Matillion excels in its transformation capabilities, with a score of 9.1, while Azure Data Factory slightly outperforms it with a score of 9.3. Reviewers mention that Matillion's intuitive interface for building transformation workflows is a standout feature.
- Reviewers say that Azure Data Factory shines in its loading functionality, scoring 9.4 compared to Matillion's 9.0. Users on G2 highlight Azure's seamless integration with various data sources as a key advantage.
- G2 users indicate that both products have similar ease of use ratings at 9.0, but users report that Matillion's user-friendly design makes it easier for teams to adopt quickly, especially for those new to ETL processes.
- Reviewers mention that Azure Data Factory has a superior scalability score of 9.3, which is crucial for enterprises looking to handle large volumes of data. Users say that Matillion, while effective, may face challenges in scaling for very large datasets.
- Users report that Azure Data Factory offers better automation features, scoring 9.2 compared to Matillion's 8.8. Reviewers highlight Azure's ability to automate data workflows as a significant time-saver for data teams.
- Reviewers mention that the quality of support for Azure Data Factory is rated higher at 8.8, compared to Matillion's 8.2. Users on G2 appreciate Azure's responsive customer service and extensive documentation, which aids in troubleshooting and onboarding.
- Unlimited read-only users
- Cloud-native orchestration jobs
- Real-time validation & sampling components
I have worked on AF v1. The best part of this tool is that you can easily get it up and running with little knowledge. It provides out of the box feature to connect to most of the data sources.
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
Built-in connectors to heaps of systems; ability to create custom connectors; active community and quick responses to forum questions
The product is not having any looping methodologies comparing with latest ipass tools.
I have worked on AF v1. The best part of this tool is that you can easily get it up and running with little knowledge. It provides out of the box feature to connect to most of the data sources.
Built-in connectors to heaps of systems; ability to create custom connectors; active community and quick responses to forum questions
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
The product is not having any looping methodologies comparing with latest ipass tools.
