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."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"Databricks integrates well with other solutions."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The technical support is good."
"Ability to work collaboratively without having to worry about the infrastructure."
"The most valuable feature is the map visuals that help us connect to the geo-specialized data which is more advanced than other solutions."
"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 solution is an affordable one."
"The ability to create a real-time data mark, using just one piece of software, is the best feature of this product."
"The product's initial setup phase was simple."
"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."
"From a scalability standpoint, I would say it's pretty fantastic."
"There is room for improvement in the documentation of processes and how it works."
"In the next release, I would like to see more optimization features."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"I would like it if Databricks made it easier to set up a project."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"The integration of data could be a bit better."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The initial setup is complicated and needs experience and knowledge."
"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 solution might be generic."
"We would like to see some development in the visualization aspect of this solution, as they can currently only be configured in the cloud, which limits us to one endpoint. It would be helpful if this could be integrated with other tools."
"The data compression has room for improvement."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"The design of the UI could be improved."
"Print capability and trigger-based events."
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, Microsoft Azure Machine Learning Studio and Dremio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Palantir Foundry.
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.
