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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
Organizations experience mixed returns from Databricks, with benefits from cost savings and efficiency, but challenges in initial migration.
Sentiment score
7.7
MicroStrategy boosts business efficiency with robust features, reducing development time and costs, enhancing reporting and accelerating market readiness.
When it comes to big data processing, I prefer Databricks over other solutions.
For a lot of different tasks, including machine learning, it is a nice solution.
 

Customer Service

Sentiment score
7.2
Databricks customer service is generally effective with prompt responses, though some report issues mainly with third-party support channels.
Sentiment score
6.1
MicroStrategy's customer service is generally well-regarded, but satisfaction varies due to mixed technical support and regional differences.
As of now, we are raising issues and they are providing solutions without any problems.
Whenever we reach out, they respond promptly.
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for efficient scalability and cloud compatibility, allowing easy resource adjustment across diverse projects and industries.
Sentiment score
7.5
MicroStrategy is scalable and handles large data, but performance may depend on architecture and associated costs.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Databricks is an easily scalable platform.
 

Stability Issues

Sentiment score
7.6
Databricks is stable and efficient for large data, with minor issues during updates and occasional connectivity challenges.
Sentiment score
7.3
MicroStrategy is generally stable and reliable, with recent updates improving issues; infrastructure setup can affect stability.
They release patches that sometimes break our code.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Cluster failure is one of the biggest weaknesses I notice in our Databricks.
 

Room For Improvement

Databricks users desire improved UI, enhanced data visualization, better integration, clearer error messages, robust support, and comprehensive documentation.
MicroStrategy needs better dashboards, simpler tools, improved support, flexible layouts, easier customization, and cost-effective options.
If I could right-click to copy absolute paths or to read files directly into a data frame, it would standardize and simplify the process.
This feature, if made publicly available, may act as a game-changer, considering many global organizations use SAP data for their ERP requirements.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
MicroStrategy could learn from Power BI's user-friendly interface.
 

Setup Cost

Databricks pricing depends on usage, with flexibility in licensing, and can vary in competitiveness compared to other solutions.
MicroStrategy's high upfront costs offer licensing flexibility; evaluate needs, negotiate discounts, and explore cost-saving for better scalability.
 

Valuable Features

Databricks provides a unified platform for data engineering, machine learning, seamless cloud integration, and robust data management capabilities.
MicroStrategy provides scalable BI solutions with advanced features including mobile BI, data visualization, robust security, and performance.
Databricks' capability to process data in parallel enhances data processing speed.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster.
The MicroStrategy interface is not as good as Power BI, especially concerning the user-friendly aspects.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
89
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
MicroStrategy
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
160
Ranking in other categories
BI (Business Intelligence) Tools (9th), Embedded BI (4th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.8%, up 3.7% compared to last year.
MicroStrategy, on the other hand, focuses on BI (Business Intelligence) Tools, holds 3.0% mindshare, down 3.6% since last year.
Cloud Data Warehouse
BI (Business Intelligence) Tools
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
AJIN S L - PeerSpot reviewer
Experience has shown effective features for analysis, but needs interface improvements
The most effective features of MicroStrategy for data analysis are those that cater to user needs. However, I find Power BI to be more useful when comparing some features, but my company does not choose Power BI due to certain code restrictions. The MicroStrategy interface is not as good as Power BI, especially concerning the user-friendly aspects.
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Comparison Review

it_user6330 - PeerSpot reviewer
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%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
17%
Computer Software Company
12%
Retailer
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about MicroStrategy?
The stability of the product is good.
What is your experience regarding pricing and costs for MicroStrategy?
For larger businesses, I think the pricing is logical, but for smaller companies, it can be a bit costly.
What needs improvement with MicroStrategy?
MicroStrategy could learn from Power BI's user-friendly interface. I find the user interface lacking when compared to Power BI. Additionally, their hyperintelligence could be improved in certain as...
 

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.
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