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."One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Allows more data between on-premises and cloud solutions"
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"Workato is low code, intuitive, and easy to use."
"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."
"It's easy to understand, makes flows and is efficient."
"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."
"Their automation and workflows are very strong, and you can build the workflows very easily and quickly."
"It is easier to use than other technical open-source technologies."
"Stability-wise, I rate the solution a ten out of ten."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"The solution needs to be more connectable to its own services."
"We require Azure Data Factory to be able to connect to Google Analytics."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"Azure Data Factory's pricing in terms of utilization could be improved."
"I would like to see the dashboarding and reporting processes improved."
"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."
"It is tedious to make a tailor-fit function."
"A limitation is that their cloud presence is only in North America and Europe."
"The management dashboard in the solution is an area with shortcomings 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."
"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."
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 IBM InfoSphere DataStage, whereas Workato is most compared with Microsoft Azure Logic Apps, MuleSoft Composer, Oracle Integration Cloud Service, Fivetran and Alteryx Designer. See our Azure Data Factory vs. Workato report.
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