We performed a comparison between Databricks and MathWorks Matlab based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The ease of use and its accessibility are valuable."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"The processing capacity is tremendous in the database."
"It is a cost-effective solution."
"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."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"Automation with Databricks is very easy when using the API."
"Databricks helps crunch petabytes of data in a very short period of time."
"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."
"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."
"Databricks' technical support takes a while to respond and could be improved."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"I would like more integration with SQL for using data in different workspaces."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"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."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."
"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while MathWorks Matlab is ranked 22nd in Data Science Platforms with 2 reviews. Databricks is rated 8.2, while MathWorks Matlab is rated 8.6. 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 MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, Anaconda, Microsoft Azure Machine Learning Studio, TIBCO Data Science and SAS Visual Analytics.
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