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."This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"The solution is very easy to use."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"It's scalable."
"R and automation services."
"The most valuable feature is the map visuals that help us connect to the geo-specialized data which is more advanced than other solutions."
"From a scalability standpoint, I would say it's pretty fantastic."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard."
"It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts."
"It’s stable and straightforward."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Would be helpful to have additional licensing options."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"The solution might be generic."
"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."
"The design of the UI could be improved."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"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."
"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."
"We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets."
"The number of charts available out of the box in Spotfire can be enhanced."
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.
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