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."What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"It is fast, it's scalable, and it does the job it needs to do."
"I work in the data science field and I found Databricks to be very useful."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The initial setup is pretty easy."
"Automation with Databricks is very easy when using the API."
"The solution is an affordable one."
"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."
"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 most valuable feature is the map visuals that help us connect to the geo-specialized data which is more advanced than other solutions."
"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."
"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."
"It’s stable and straightforward."
"The product's initial setup phase was simple."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"There are no direct connectors — they are very limited."
"I believe that this product could be improved by becoming more user-friendly."
"The product cannot be integrated with a popular coding IDE."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"I have seen better user interfaces, so that is something that can be improved."
"When you do the data loading, it is slow."
"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 data compression has room for improvement."
"The solution might be generic."
"Compared to competitors, the UI is quite dated."
"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."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"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.
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