Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
The most valuable features of Azure Data Factory include its seamless integration with other Azure services, its ability to handle large volumes of data efficiently, its flexibility in data transformation and orchestration, and its user-friendly interface. Users also appreciate the extensive range of connectors and the scalability offered by Azure Data Factory.
Azure Data Factory could benefit from enhancements in terms of data integration, pipeline monitoring, and user interface. Users have expressed the need for better support for complex data integration scenarios, such as handling nested data structures and providing more built-in connectors.
Additionally, users have highlighted the importance of improved pipeline monitoring capabilities, including real-time monitoring and better error handling. Some users have suggested improvements to the user interface, such as a more intuitive and user-friendly design.
Users reported that the platform helped them streamline data integration and processing tasks efficiently. They mentioned that it improved their data management capabilities and enabled them to make informed business decisions. Users also appreciated the scalability and cost-effectiveness of Azure Data Factory, as it allowed them to handle large volumes of data without incurring significant expenses.
Azure Data Factory offers competitive pricing options with flexible licensing. The setup cost is reasonable and the licensing process is straightforward. Users have found the pricing structure to be transparent and customizable to their specific needs.
The primary use case of Azure Data Factory is to efficiently manage and integrate data from various sources, enabling seamless data movement and transformation across different platforms and services.
Customer service and support is highly praised. Users have expressed satisfaction with the prompt and helpful assistance provided by the Azure Data Factory team. They appreciate the knowledgeable and friendly staff who are readily available to address any queries or issues.
Some users found the setup process to be easy and straightforward, while others described it as complex and requiring professional training.
The setup time varied depending on factors such as data volume, with one user reporting a deployment time of 16-18 hours for 17 million records. While some users mentioned that the initial setup only took a few days or a week, others indicated that it took several weeks or even months to complete.
The setup process involved creating an instance of Azure Data Factory, configuring connections to databases, and setting up integration services.
Azure Data Factory is highly flexible and adaptable to different needs. Users have praised its ability to handle large volumes of data efficiently and seamlessly integrate with other Azure services. The scalability of the solution has been commended, allowing users to easily scale up or down based on their requirements.
Azure Data Factory is considered reliable and dependable. Users have expressed satisfaction with its stability and have not reported any issues or concerns regarding its performance.
1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
