We performed a comparison between Azure Data Factory and Workato based on real PeerSpot user reviews.
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."We have been using drivers to connect to various data sets and consume data."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"It's extremely consistent."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"It makes it easy to collect data from different sources."
"It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product."
"It is easier to use than other technical open-source technologies."
"It's easy to understand, makes flows and is efficient."
"Stability-wise, I rate the solution a ten out of ten."
"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."
"Their automation and workflows are very strong, and you can build the workflows very easily and quickly."
"Workato is low code, intuitive, and easy to use."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"There aren't many third-party extensions or plugins available in the solution."
"We have experienced some issues with the integration. This is an area that needs improvement."
"From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems."
"A limitation is that their cloud presence is only in North America and Europe."
"The only minor drawback would be if there was a UI at the front of it, for apps and for a portal as well, it would make it really easy. It would be really useful if there were more apps capabilities."
"Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations."
"The management dashboard in the solution is an area with shortcomings that needs improvement."
"I would like to see the dashboarding and reporting processes improved."
"It is tedious to make a tailor-fit function."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Workato is ranked 8th in Integration Platform as a Service (iPaaS) with 9 reviews. Azure Data Factory is rated 8.0, while Workato is rated 8.4. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Workato writes " Great automation and strong workflows useful for integration". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Workato is most compared with Microsoft Azure Logic Apps, MuleSoft Composer, Oracle Integration Cloud Service, Alteryx Designer and Fivetran. See our Azure Data Factory vs. Workato report.
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