4.1 out of 5 (19 Ratings)
May 19, 2017
May 18, 2017
Deployment and integration is top-notch, but the backwards compatibility of the software after each upgrade needs improvement.
Apr 11, 2017
The product works as advertised and it is great to use R as the analytics engine. There is no version control and moving updates from dev to UAT and production is very manual and painful.
Mar 14, 2017
Application is easy to use, and well received within the organization. Deployment was straight forward, and has grown as our data systems have expanded.
Mar 14, 2017
Works well with both our private streaming analytics APDE, and the open soource versions we use in Cloud Services
Mar 8, 2017
Overall the product has exceeded our expectations for capabilities supporting the full life cycle of data analytics from descriptive to prescriptive.
Mar 8, 2017
Good interface, but creating custom dashboards is an open-ended process that could benefit from better templates. Integration with data sources is straightforward, but a lack of support of OPC data is a limitation that must be worked around.
Mar 7, 2017
As an advanced analytics platform, Tibco has finally produced some nice out of the box visualizations that incorporate algorithms for predictions, clustering, etc. These advanced visualization features make it much easier to create something quickly without necessarily having to be a data scientist. Integration with custom analytics code (TERR, as an example) is still fairly complex to get working correctly, and in our organization, most just bypass TERR altogether and do data analysis in R or Python ahead of time, output the results to storage, and visualize with Spotfire. Managing the environment is much improved in 7.6 due to key architectural changes such as load balancing for report access, whereas in the past the analysis had to be accessed via specific Web Player URL. Tibco also attempts to automatically manage memory allocation on the infrastructure, but often its recommendations do more harm than good and we end up disabling in favor of manual resource management. When compared to other tools in this space, Tibco Spotfire is lacking in embedded Machine Learning and AI capabilities that its competitors are now starting to offer. Requiring a separate product suite to deal with real time data streaming is also not ideal, especially when the two products aren't integrated in a meaningful way. Finally, new developers are likely to find some hiccups when migrating their analyses from desktop to server. Some errors have good descriptions, but many common errors like referencing a file local to your PC that the server can't find are relayed only as "cannot open analysis," causing needless overhead for the platform support team. Overall, when compared to earlier versions, it's much better than before. There is still a lot of work to do to catch up.
Mar 6, 2017
Spotfire has become an integral part of our analytics environment. There seems to be a lot of leapfrogging in the industry, but we have been very satisfied with the product. The only challenge we have is that the look and feel aren't as nice as some of the competitors.
Feb 21, 2017
Poor adoption and poor ability to combine data