We performed a comparison between Databricks and MicroStrategy based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The simplicity of development is the most valuable feature."
"The solution offers a free community version."
"The setup is quite easy."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Databricks integrates well with other solutions."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"It is very stable."
"In terms of functionality, MicroStrategy is alright. It's a solid BI tool and can handle most tasks you'd expect."
"Semi-automatic support of implementing date dimensions, including delta to prior year implementation."
"The usability for users to be able to drag and drop, then create their own reports."
"Building apps is easy. You just drag in your data, and then you drag in all the elements that you want on your app. It's drag and drop design, and then you can customize your visuals. They make it all easy with plug and play widgets."
"Workstation and Desktop on the client side will speed up some development activities."
"We are embedding multimedia content in our apps... You can embed streaming video from websites, or you can host the video files on your internal media servers. The video is clear, absolutely."
"The convenience of it. Having it on the mobile, so someone has it right there in their pocket most of the time."
"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."
"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."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"I don't think that they will, but I'd like to see parallel processing, scalable parallel processing."
"The implementation itself was pretty straightforward. The tricky part was understanding MicroStrategy's licensing model, which was a bit convoluted back then."
"It is actually pretty complicated to use. It is complicated enough that user adaptation is sometimes difficult. We developed more experts rather than people using it."
"We had some problems with customer service and support."
"Our users tend to say the interface is a pain."
"I know we are not competing against Tableau, but MicroStrategy needs to step up its game on the GUI side."
"The graphs available for the new dashboard of version 10 are weak."
"They need to improve the web."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while MicroStrategy is ranked 8th in BI (Business Intelligence) Tools with 155 reviews. Databricks is rated 8.2, while MicroStrategy is rated 8.2. 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 MicroStrategy writes "A robust solution for powerful data analytics". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas MicroStrategy is most compared with Microsoft Power BI, Tableau, IBM Cognos, SAP BusinessObjects Business Intelligence Platform and QlikView.
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.
