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."Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The time travel feature is the solution's most valuable aspect."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"The main features of the solution are efficiency."
"The integration with Python and the notebooks really helps."
"The ability to connect to many different data sources is one of the key features. The other would then be the different ways in which that data can be visualized."
"It’s stable and straightforward."
"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."
"One of the main features is integrated statistical analysis."
"The out-of-the-box features are simple and easy to use across the board."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"The solution is an affordable one."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"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."
"A lot of people are required to manage this solution."
"Would be helpful to have additional licensing options."
"Databricks could improve in some of its functionality."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"It's not easy to use, and they need a better UI."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"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 is complicated and needs experience and knowledge."
"The design of the UI could be improved."
"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 initial setup can be difficult."
"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."
"When it comes to data manipulation, there are features which are good, but one of the features which has really been missing in Spotfire is an offline ability for data manipulation."
"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."
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.
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