We performed a comparison between Azure Data Factory and TIBCO Spotfire 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."The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"It is beneficial that the solution is written with Spark as the back end."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"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."
"It is easy to integrate."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"It's scalable."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"R and automation services."
"The product's initial setup phase was simple."
"The solution is an affordable one."
"The most valuable features of TIBCO Spotfire are visualization. It's very nice, clear, and, flexible. You can analyze many data types and the user interface is very good."
"Data discovery is very simple."
"The ability to connect to many different data sources is one of the key features. The other would then be the different ways in which that data can be visualized."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"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."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Some of the optimization techniques are not scalable."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The pricing scheme is very complex and difficult to understand."
"Compared to competitors, the UI is quite dated."
"The initial setup is complicated and needs experience and knowledge."
"I would like more easy-to-implement analytical algorithms. At the moment they include things like forecasts and regressions. They need to add a lot more of these types of things to the product because not everyone is a data scientist."
"The data compression has room for improvement."
"The solution might be generic."
"We would like to see some improvement in the default properties of the solution, so that there is less need for us to spend our time coding."
"The Text Area feature needs to be more user-friendly. It is a little clunky to use, and it is difficult to consistently format text."
"When it comes to data manipulation, there are features which are good, but one of the features which has really been missing in Spotfire is an offline ability for data manipulation."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. Azure Data Factory is rated 8.0, while TIBCO Spotfire 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 TIBCO Spotfire writes "Empowers us to extract insights and provide valuable business analytics to support decision-making within our organization". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Amazon QuickSight. See our Azure Data Factory vs. TIBCO Spotfire report.
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