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."Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"It is a cost-effective solution."
"Databricks has helped us have a good presence in data."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"It is fast, it's scalable, and it does the job it needs to do."
"The simplicity of development is the most valuable feature."
"The interactive features that appear in the report were good. The external rendering option they give with multi servers was also good."
"It's user-friendly, also the MTDI cube is a very good approach, as it helps you to use the pre-format instead of using the standard objects from the schema of MicroStrategy."
"It is definitely customizable. We have been able to put in key metrics and performance indicators, thus it is customizable."
"Has a great semantic layer."
"The solution's platform analytics gives us real-time analysis of how a particular user uses the report and how the systems behave."
"We use MicroStrategy as an integrated solution with some of their other CRM type applications."
"Visual Insight gives you the capability of doing self-service analytics. This has been the most powerful and valuable feature."
"It is scalable and integration-friendly."
"The integration of data could be a bit better."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"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."
"In the next release, I would like to see more optimization features."
"The integration features could be more interesting, more involved."
"The tool should improve its integration with other products."
"Databricks' technical support takes a while to respond and could be improved."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"When we come to them with a problem, they might know more of a generalized solution, but not one targeted to our industry."
"The UI seems klutzy with its manual entry."
"If you do not learn the ins or outs, it can be a difficult tool to use. You could do a PoC and get enough out of it to be able to use it. However, when it comes to administering it, you definitely need the training."
"From a stability standpoint, from MicroStrategy, I would say it's fairly consistent. I would give it a "B" because there are times where we have issues that are just inexplicable. They go away and then we have no resolution. To me, that's not acceptable. There are just times where our users can't access things and we're not sure why, and that's a problem to me."
"I want to be able to have one report that's delivered to 30 different people and all 30 different people see something different. Now, you can do that today with metrics. You cannot do that with attributes. There's a component of that which, if an attribute is on granularity-one and another is on granularity-two, and you remove granularity-one, you're now going to be summing to a level that you did not expect before."
"They need to improve on distribution services. There are lack of features which were there earlier with Narrowcast, but they are not there in the distribution services."
"If they can make it more stable, in terms of the connectivity, that would help."
"MicroStrategy needs to do some more development to make the platform easier to use. It's a complicated platform that requires a lot of skill to effectively utilize. So they could work on reducing the complexity to make it more accessible for a broader community of people."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while MicroStrategy is ranked 9th 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, SAP BusinessObjects Business Intelligence Platform, IBM Cognos 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.
