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."Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"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."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"We have found the bulk load feature very valuable."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The function of the solution is great."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"We particularly like the data angling feature of this solution. This gives us the ability to work on data transformations, join files, and carry out other data preparation tasks all in a single tool."
"TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves."
"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."
"It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts."
"We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable."
"One of the main features is integrated statistical analysis."
"R and automation services."
"The two features that I have found most valuable are its ability to customize the dashboards when it comes to the evaluation. The second feature is its ability to handle a large amount of data, which is also something very unique about it."
"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."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"The way TIBCO Spotfire is designed, in my opinion, is the reason why it lags a bit, especially compared to other BI tools like Qlik."
"When you do the data loading, it is slow."
"I would like to see the visualization library in this solution expanded, so that I can increase what I can offer to our clients."
"The initial setup can be difficult."
"The data compression has room for improvement."
"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."
"The number of charts available out of the box in Spotfire can be enhanced."
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 TIBCO Jaspersoft. See our Azure Data Factory vs. TIBCO Spotfire report.
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