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."Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"It's fairly straightforward as a product; it's not very complicated."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"The most valuable feature of AWS Glue is scalability."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"Our entire use case was very easily handled or solved using this solution."
"The out-of-the-box features are simple and easy to use across the board."
"Data discovery is very simple."
"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."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"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."
"It's scalable."
"The product's initial setup phase was simple."
"This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard."
"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"The solution’s stability could be improved."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"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."
"I have encountered challenges with multi-region support."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"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 of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier."
"The initial setup is complicated and needs experience and knowledge."
"We would like an easier way to get the product to the cloud. Right now, we have the on-premise version, and we would like to find a way to make it easier to migrate it over to the cloud."
"The number of charts available out of the box in Spotfire can be enhanced."
"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 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 handling and consumption of realtime data could be improved."
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, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and TIBCO Jaspersoft. See our AWS Glue vs. TIBCO Spotfire report.
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