We performed a comparison between Databricks and MathWorks Matlab based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"We can scale the product."
"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 most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The solution is an impressive tool for data migration and integration."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"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."
"It can send out large data amounts."
"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."
"The integration and query capabilities can be improved."
"The tool should improve its integration with other products."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"There is room for improvement in visualization."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"The integration of data could be a bit better."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"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 15th 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, Dremio and Microsoft Azure Machine Learning Studio, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, TIBCO Data Science, Anaconda and Microsoft Azure Machine Learning Studio. See our Databricks vs. MathWorks Matlab report.
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