We performed a comparison between Databricks and TIBCO Spotfire based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks has helped us have a good presence in data."
"The solution is very easy to use."
"The technical support is good."
"Its lightweight and fast processing are valuable."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The solution offers a free community version."
"I like cloud scalability and data access for any type of user."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"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."
"The out-of-the-box features are simple and easy to use across the board."
"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."
"The solution is an affordable one."
"One of the main features is integrated statistical analysis."
"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."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"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."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"There are no direct connectors — they are very limited."
"The handling and consumption of realtime data could be improved."
"The number of charts available out of the box in Spotfire can be enhanced."
"The initial setup can be difficult."
"The design of the UI could be improved."
"When you do the data loading, it is slow."
"Print capability and trigger-based events."
"The initial setup is complicated and needs experience and knowledge."
"One aspect where Spotfire could improve is its global recognition, especially in terms of support."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. Databricks is rated 8.2, while TIBCO Spotfire is rated 8.4. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". 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". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and TIBCO BusinessWorks.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
