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Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Azure Data Factory is highly scalable.
Whenever more resources are needed, they become available automatically without any human interference.
Vertically, scalability is fine, however, I have not expanded horizontally with the product yet.
The solution has a high level of stability, roughly a nine out of ten.
There are some issues like the tool hanging or the need for additional jars when exposing web services.
We provide support to our clients, and the minimum calls I receive are for webMethods.io; it's very stable.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
There is a problem with the integration with third-party solutions, particularly with SAP.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Another enhancement would be in OCR; currently, there is a huge demand for OCR capabilities. It would be perfect if webMethods.io had a built-in component for OCR, as this would be tested and allow customers to use it better than a third-party OCR application.
A special discount of at least 50% for old customers would allow us to expand our services and request more resources.
The pricing is cost-effective.
It is considered cost-effective.
Regarding the pricing and licensing of webMethods.io, I don't think it's expensive when compared with the features.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
It connects to different sources out-of-the-box, making integration much easier.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
It facilitates the exposure of around 235 services through our platform to feed various government entities across the entire country.
I believe data transformation is exceptional in webMethods.io because they have an online database that can cache the database online.
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.
webMethods.io Integration is a powerful integration platform as a service (iPaaS) that provides a combination of capabilities offered by ESBs, data integration systems, API management tools, and B2B gateways.
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