Databricks vs MicroStrategy comparison

Cancel
You must select at least 2 products to compare!
Databricks Logo
28,492 views|18,008 comparisons
96% willing to recommend
MicroStrategy Logo
7,142 views|4,700 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions.""I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well.""The solution is built from Spark and has integration with MLflow, which is important for our use case.""The fast data loading process and data storage capabilities are great.""The most valuable feature of Databricks is the notebook, data factory, and ease of use.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform.""We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."

More Databricks Pros →

"The mobile for MicroStrategy is the best of all the BI platforms. As a separate product for the mobile device, MicroStrategy is the entire BI platform. It is an enterprise solution, a separate unit, etc.""We prefer having our analytics capabilities in a single platform, which MicroStrategy's offers.""Getting more data to people more quickly. Providing more flexibility for how they use the data.""​I have had a lot of projects where we had a lot of users, like thousands of users, and the data was in one report which could bring in six million records. MicroStrategy is doing a good job on scalability.""The drill-down functionality is also very good.""The solution is ideal for enterprise-level companies or corporations.""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.""It's an open platform. That's also important. You can create your own data connectors. There's everything you can do with APIs. It's not closed like, perhaps, an SAP system might be."

More MicroStrategy Pros →

Cons
"The connectivity with various BI tools could be improved, specifically the performance and real time integration.""I believe that this product could be improved by becoming more user-friendly.""Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present.""The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration.""Can be improved by including drag-and-drop features.""The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good.""I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data.""Databricks' technical support takes a while to respond and could be improved."

More Databricks Cons →

"Needs ​tighter mapping integration.""I would like to see the enterprise version available in a demo or as a trial version.""With Cube partition (v10.1 and above) scalability has not been an issue, but the Cube publish time, and temporary space consumption while the Cube is being published, has almost doubled during implementation of Cube partition.""We have the mobile server. We have not used it. That is because the people on our team have not been trained on it yet, but that is something that we want to do.""If you compare it with Power BI with the DAX language, it would be great to put that into MicroStrategy.""There might be opportunities for reporting or data analysis, perhaps even in the realm of simulation.""It crashes multiple times for even small changes that I make on the fly in the dashboard. After doing all the necessary changes, the MicroStrategy desktop or even the web version kicks the users out, and all the changes are lost. This functionality is buggy in MicroStrategy. It is hard to keep track of all the changes that I have done before. I don't want to make copies of each change that I have made because I would end up creating a hundred dashboards. It is not feasible in a real environment. I haven't worked on integrating MicroStrategy with the cloud. I am not sure how it behaves in the cloud, but I have heard from a few of my friends that there are some hiccups when you kind of sync to the cloud through MicroStrategy.""Lacks decent visualization and the process for creating new objects needs to be simplified."

More MicroStrategy Cons →

Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "They made a change in the licensing module some time ago and we can now use all the enterprise tools for free."
  • "The pricing for MicroStrategy is always on the higher side. They should seriously start thinking about their pricing and licensing strategy."
  • "While initial cost of MicroStrategy is still on the higher side, the long-term benefits brings down overall cost of ownership significantly as compared to other tools like Tableau/Cognos."
  • "The price was good. We have had great support along the way."
  • "We actually researched some of the other solutions. For options, price, and customer acceptance, this product has worked well for us.​"
  • "​They gave us a good deal.​"
  • "There have been actual direct bottomline impacts in terms of extra revenue created from the reporting solutions."
  • "They need to work on their license structure. They are not competitive against somebody like SAP BusinessObjects. We had a quote that was almost a third the price, coming from SAP BusinessObjects, and it's not a better platform. It's not cheaper. They do concurrent user licensing, while MicroStrategy does named user licensing, and that was literally the only difference. But it made a $500,000 difference. They've got to do something to make themselves more competitive. Maybe it's assessing your business users and what you really expect them to use, and maybe giving a reduced price on that. But they are already giving us a 60% discount and they were still a million or so above, over a three-year time period. That doesn't account for synergies as we get from on-site resources that are already available, but I thought that that was a big, big deficit for them."
  • More MicroStrategy Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    771,157 professionals have used our research since 2012.
    Comparison Review
    Anonymous User
    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 use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The stability of the product is good.
    Top Answer:MicroStrategy's licensing cost is higher than that of other tools in the market. My company uses the enterprise edition of the product. For beginners, there are trial accounts that are provided by the… more »
    Top Answer:For everything we do in our company, we consider MicroStrategy to be a workaround solution. For better customization in documents or dashboards, MicroStrategy can improve the features or settings… more »
    Ranking
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    7,142
    Comparisons
    4,700
    Reviews
    12
    Average Words per Review
    568
    Rating
    7.5
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    Company: Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading worldwide provider of enterprise software platforms. With direct operations in 26 countries worldwide and approximately 2,000 employees, our mission is to provide enterprise analytics, mobility, and security platforms that are flexible, powerful, scalable and user-friendly. To learn more, visit MicroStrategy online, and follow us on Facebook and Twitter.

    Product portfoilio:

    MicroStrategy 10 Secure Enterprise™ empowers leading organizations to analyze vast amounts of data and distribute actionable business insight throughout an enterprise through two distinct offerings: MicroStrategy Analytics™ and MicroStrategy Desktop™. MicroStrategy Analytics delivers reports and dashboards, and enables users to conduct ad hoc analysis and share insights anywhere, anytime, via mobile devices or the Web. It also combines the agility and productivity of self-service visual data discovery with the security, scalability, and governance features of enterprise-grade business intelligence. MicroStrategy Desktop is a standalone, on-premise visual data discovery tool designed to enable business users to analyze and understand their data. MicroStrategy Mobile™ enables organizations to rapidly build custom business applications that deliver analytics combined with transactions, multimedia, and custom workflows to mobile devices. MicroStrategy Secure Cloud™ combines all of the enterprise analytics, mobile, and security features in MicroStrategy 10 Secure Enterprise with powerful and scalable data integration, validation, and warehousing services — all delivered in an environment where organizations can deploy transformational analytics applications in minutes.

    Usher, MicroStrategy’s breakthrough security solution, is a powerful mobile security platform designed to dematerialize traditional forms of identity verification (such as passwords, tokens, and physical badges) and replace them with a single mobile identity badge that is cryptographically linked to its owner’s smartphone and dynamically linked to an enterprise’s existing identity repositories. Usher works on standard Android and iOS smartphones, and also boasts an Apple Watch™ integration.

    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.
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company9%
    Healthcare Company6%
    REVIEWERS
    Financial Services Firm15%
    Healthcare Company13%
    Retailer11%
    Computer Software Company7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company11%
    Retailer9%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business22%
    Midsize Enterprise17%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    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.