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Databricks vs MicroStrategy comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.6
Databricks enabled significant cost reductions and efficiency improvements, leading to high user satisfaction and impressive ROI compared to other platforms.
Sentiment score
7.2
MicroStrategy improves business efficiency, enhancing reporting capabilities and perceived value, though ROI measurement is challenging for some users.
This reduction in both time and money resulted in real-time impact and significant cost savings.
Consultant at Nice Software Solutions
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
 

Customer Service

Sentiment score
7.0
Databricks support is generally responsive and proactive, though issues like language barriers and indirect support occasionally occur.
Sentiment score
5.2
MicroStrategy's customer service relies on a knowledge base, facing mixed reviews due to response times and support quality disparities.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I would give Databricks customer support a rating of ten.
I would rate the technical support from MicroStrategy as nine out of 10.
Lead Software Engineer at Momentus
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for easy scalability and handling large data volumes, despite some cost and technical setup concerns.
Sentiment score
7.6
MicroStrategy offers strong scalability and performance, though high costs and memory requirements can influence its enterprise usage efficiency.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
We have moved from on-premises to cloud-based infrastructure.
Data Engineer at a insurance company with 10,001+ employees
MicroStrategy's scalability is good, as it has the possibility to read a lot of data and works fine with all the information that we have.
Analyst - IM at a healthcare company with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
Databricks is stable and reliable, successfully handling large data volumes, with minor issues mostly self-resolving.
Sentiment score
7.3
MicroStrategy is reliable and stable, with strong performance; minor issues are typically resolved through support or configuration adjustments.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
I would rate the stability of MicroStrategy as nine out of 10.
Lead Software Engineer at Momentus
 

Room For Improvement

Databricks requires improved visualization, integration, interface, documentation, pricing, connector capabilities, community resources, support, and automated features.
MicroStrategy needs improved modeling, visualization, usability, cloud integration, support, and pricing to enhance smaller organizations' adoption.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
Creating hierarchies and the modeling part is challenging because data modeling is one of the most important aspects of any BI project.
Data Engineer at a insurance company with 10,001+ employees
Organizations that are well-established and have more money can afford MicroStrategy, but startups and mid-level organizations who do not have this much budget have to opt for other cheaper tools.
Lead Software Engineer at Momentus
MicroStrategy could learn from Power BI's user-friendly interface.
Technical Analyst at Allianz
 

Setup Cost

Databricks provides a flexible, cost-effective cloud solution integrating with Azure and AWS, though premium features can raise costs.
MicroStrategy's high pricing is due to licensing costs, though long-term benefits exist; licensing complexity concerns users.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
My experience with pricing, implementation costs, and licensing is that it is very efficient and very fast.
 

Valuable Features

Databricks excels in user-friendly, scalable data management, supporting diverse languages, with strong analytics and governance features in the cloud.
MicroStrategy excels in flexibility, scalability, and user-friendly reporting, supporting large data volumes with strong security and Visual Insights features.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
It's important because with MicroStrategy we can manage all our cubes and show data to our clients.
Analyst - IM at a healthcare company with 10,001+ employees
The MicroStrategy interface is not as good as Power BI, especially concerning the user-friendly aspects.
Technical Analyst at Allianz
The most effective features of MicroStrategy for data analysis in my experience are the security, the metadata management, and the administration, along with the options of different workarounds available to accommodate different types of requirements.
Lead Software Engineer at Momentus
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
MicroStrategy
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
163
Ranking in other categories
BI (Business Intelligence) Tools (14th), Embedded BI (5th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.7%, up 9.1% compared to last year.
MicroStrategy, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.2% mindshare, down 2.9% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.7%
Snowflake15.1%
Teradata8.8%
Other66.4%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
MicroStrategy1.2%
Microsoft Power BI7.5%
Tableau Enterprise5.8%
Other85.5%
BI (Business Intelligence) Tools
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Harjinder-Singh - PeerSpot reviewer
Data Engineer at a insurance company with 10,001+ employees
Reporting on insurance finances has become robust and supports detailed geo-spatial analysis
I am quite satisfied with the reporting part of the product. However, compared to other tools, the modeling part is not as strong. Data modeling is not as easy on MicroStrategy as it is on other platforms. I have worked with the administration tool and the Architect tool for MicroStrategy, but creating a star schema is not as easy compared to other tools. Creating hierarchies and the modeling part is challenging because data modeling is one of the most important aspects of any BI project. If you can create a star schema or Snowflake schema easily, then report building becomes straightforward. Additionally, MicroStrategy's Workstation tool compared to Developer still lacks some functionality that can be done more easily on the Developer side. Workstation is a great tool, but they have not given it full functionality.
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Comparison Review

it_user6330 - PeerSpot reviewer
Product Manager at a retailer with 10,001+ employees
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
5%
Financial Services Firm
16%
Construction Company
9%
Marketing Services Firm
8%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business37
Midsize Enterprise26
Large Enterprise101
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
What is your experience regarding pricing and costs for MicroStrategy?
My company has many licenses for MicroStrategy because we can build reports in this tool. I don't know what the cost is for these licenses.
What needs improvement with MicroStrategy?
I am quite satisfied with the reporting part of the product. However, compared to other tools, the modeling part is not as strong. Data modeling is not as easy on MicroStrategy as it is on other pl...
What is your primary use case for MicroStrategy?
Harjinder, I recall approximately two years back we had a conversation with you about ForgeRock and Auth0, and I think we had discussed MicroStrategy as well. Currently, we are using it for financi...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Allstate Insurance, Barneys New York, Boston Children's Hospital, Buenos Aires Department of the Treasury, Campbell Soup Company, DHL, eBay, eHarmony, Facebook, Four Seasons Hotels Inc., Godiva, Hard Rock International, LinkedIn, Netflix, Pfizer, SECO (Swiss Government Unemployment Agency), Starbucks, Texas A&M University, Thomson Reuters Markets, US House of Representatives, and the US Postal Service.
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.
899,258 professionals have used our research since 2012.