Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In my experience, we have seen a return on investment, with results visible within a week.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
Whenever we faced issues with data volume, the support team helped us by suggesting solutions like breaking the data into chunks.
Workato's support is robust, featuring first and second-level support.
I reach out to the professional services team or customer success team for technical support, and they provide immediate responses.
Azure Data Factory is highly scalable.
There are scalability limitations with Workato.
The solution has a high level of stability, roughly a nine out of ten.
To handle more than 50,000 records, I use scripting actions like Python or JavaScript to process large data in chunks.
During the initial data loads with large volumes, Workato was unable to handle the data effectively, which indicates stability issues under high loads.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads.
One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub for easier deployment.
The pricing is cost-effective.
It is considered cost-effective.
While the upfront cost is high due to task-based pricing, the cost is relatively low in terms of development because Workato provides necessary connectors for integration use cases.
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.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
It allows app-to-app and real-time integrations, which significantly enhance process efficiency.
It comes with pre-built connectors, eliminating the need to write APIs.
Development time is significantly reduced by its automation capabilities, which are beneficial for both SQL databases and APIs.
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.
Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.
The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.
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