We performed a comparison between AWS Glue and TIBCO Spotfire based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"I appreciate AWS Glue for its cost-effectiveness."
"We have found it beneficial when moving data from one source to another."
"The solution helps organizations gain flexibility in defining the structure of the data."
"AWS Glue is a stable and easy-to-use solution."
"AWS Glue's best features are scalability and cloud-based features."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"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."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"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."
"From a scalability standpoint, I would say it's pretty fantastic."
"One of the main features is integrated statistical analysis."
"It's scalable."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"R and automation services."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"The price of the solution could improve."
"The solution's visual ETL tool is of no use for actual implementation."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"The solution’s stability could be improved."
"We face performance issues when using AWS Glue for data transformation and integration."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"AWS Glue is more costly compared to other tools like Airflow."
"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 solution might be generic."
"Compared to competitors, the UI is quite dated."
"We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets."
"Print capability and trigger-based events."
"The data compression has room for improvement."
"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."
"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."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. AWS Glue is rated 7.8, while TIBCO Spotfire is rated 8.4. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". 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". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Amazon QuickSight. See our AWS Glue vs. TIBCO Spotfire report.
See our list of best Cloud Data Integration vendors.
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