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."We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"Databricks integrates well with other solutions."
"The solution is an impressive tool for data migration and integration."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The ability to stream data and the windowing feature are valuable."
"Easy to use and requires minimal coding and customizations."
"The processing capacity is tremendous in the database."
"The setup was straightforward."
"MicroStrategy has what they call the Semantic Graph — an enterprise-grade semantic graph — and I think the technology is fantastic."
"The technical support is quite good."
"The data governance leads people to trust the data that they have, and they know where to get it."
"On our mobile solution you can deploy up to 100,000 users. In our case, we're up to about 10,000 active users, and MicroStrategy's server technology behind the scenes, the Intelligence Server and the Mobile Servers, are very robust and they can handle the workload."
"It plays a vital role in establishing a connection with predictive continuous improvement."
"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."
"Speed for high level aggregation by using Intelligent Cubes."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"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."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"The initial setup is difficult."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The product should provide more advanced features in future releases."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Training would be an area that they could improve upon."
"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 did not see any additional value of providing one button for installation on the whole platform if it was going to be installed for different servers. You would have to make customization every time. There was no additional value in an installer."
"When we come to them with a problem, they might know more of a generalized solution, but not one targeted to our industry."
"MicroStrategy is dragging behind other tools on the self-service visualizations, like Tableau. I would rate Tableau as a 10. For the same visualizations, I would say MicroStrategy is an eight, maybe nine. They're still behind on the self-service visualizations,"
"I prefer the capabilities of a single platform, but it does not always work. We are a huge company. Some areas do not use MicroStrategy, so you have to blend whatever systems they are using together to get the data points that you are looking for."
"There might be opportunities for reporting or data analysis, perhaps even in the realm of simulation."
"We haven't invested in the mobile platform. We want to invest, but the problem is the security. We are in the health domain, so we have PHI data."
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, 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.
