We performed a comparison between Databricks and Mode Analytics 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 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 gives you the flexibility of using several programming languages independently or in combination to build models."
"It is fast, it's scalable, and it does the job it needs to do."
"The initial setup is pretty easy."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The setup was straightforward."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"There are good features for turning off clusters."
"The tool helps to catch results and review them."
"The most valuable feature I would say is the flexibility in editing."
"The most important feature of the solution is the ability to run Python-based scripts."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"There are no direct connectors — they are very limited."
"Databricks could improve in some of its functionality."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"I think in terms of User Interface, I would say it can be better."
"Mode Analytics needs to improve the overall user experience."
"The solution could run faster."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Mode Analytics is ranked 20th in BI (Business Intelligence) Tools with 4 reviews. Databricks is rated 8.2, while Mode Analytics is rated 7.8. 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 Mode Analytics writes "The solution is easy to learn to use and very informative". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Mode Analytics is most compared with Tableau, ThoughtSpot, Amazon QuickSight and Microsoft Power BI.
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.