Azure Data Factory vs Workato comparison

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."

"The data copy template is a valuable feature."

"We have found the bulk load feature very valuable."

"The overall performance is quite good."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"The function of the solution is great."

"Stability-wise, I rate the solution a ten out of ten."

"It's easy to understand, makes flows and is efficient."

"Workato is low code, intuitive, and easy to use."

"It is easier to use than other technical open-source technologies."

"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."

"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."

"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."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"Some of the optimization techniques are not scalable."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"It is tedious to make a tailor-fit function."

"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."

"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."

"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 pricing is a bit on the higher end."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"It's not particularly expensive."

"I would not say that this product is overly expensive."

"The price you pay is determined by how much you use it."

"Product is priced at the market standard."

"ADF is cheaper compared to AWS."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"Workato is an expensive solution."

"On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."

"Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."