Dremio vs Microsoft Power BI comparison

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Dremio Logo
2,683 views|2,043 comparisons
100% willing to recommend
Microsoft Logo
33,848 views|28,652 comparisons
92% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and Microsoft Power BI 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).
771,212 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
"Dremio allows querying the files I have on my block storage or object storage.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it.""We primarily use Dremio to create a data framework and a data queue.""The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""Everyone uses Dremio in my company; some use it only for the analytics function."

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"It is in the cloud, which makes it easy for mobile access of reports and data.""It is stable enough. It has a lot of powerful functions. It can also be customized with the DAX language. It is also intuitive enough and incremental. You can start with something simple, and then step-by-step, you can increase the reports and dashboards according to your needs.""We have a lot of servers and applications from which we want reports, and it allows us to create reports from an SQL source or some other source.""The best feature of this solution is the way you can plan, communicate, and visualize all the knowledge you extract from the data for the customers. I like the way you can show or visualize the information a client needs to answer a business question.""I like the downloadable visualizations a lot. I think that they give the user a very nice starting point in creating awesome dashboards, with the right way to tell their data story.""I also find connecting to different data sources is quite simple. Other solutions we were using before were complicated.""The most valuable features are the easy creation of reports, dashboards, and the ability to perform analysis. It is important for us to create reports because we have some operations during certain hours and we can use this tool to track the information.""You can learn a lot of things quickly using resources like ChatGPT or Microsoft's own solutions, which are very helpful within the Microsoft ecosystem."

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Cons
"They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people.""Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement.""Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""It shows errors sometimes."

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"For someone who is new, I think that Power BI can be a little complicated.""The initial installation is difficult.""It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases.""BI is scalable, but there are some problems with limited online storage.""I have to write scripts to query data for analyzing performance.""The visualization aspect, while being the most visible to business users, also happens the be the weakest point in the entire Microsoft BI stack.""The solution could improve by having more attractive graphical charts.""Microsoft is behind IBM when it comes to security features."

More Microsoft Power BI Cons →

Pricing and Cost Advice
  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
  • More Dremio Pricing and Cost Advice →

  • "There is room for at least 45% discount as compared to the initial price."
  • "MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."
  • "All in all, for the price, this is an excellent tool for helping your organization turn mounds of data into useful insights."
  • "I would advise that Microsoft BI products are rightly priced and the licensing is easy to follow and to fulfill."
  • "Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view? ​"
  • "Make it low in cost. It is a no-brainer!"
  • "Globally, we evaluated a number of products, including Salesforce's product, Microsoft won on the ground of simple functionally and cost."
  • "Paid for itself in the first month."
  • More Microsoft Power BI Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Questions from the Community
    Top Answer:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… more »
    Top Answer:There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer:Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance… more »
    Top Answer:Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle… more »
    Ranking
    9th
    Views
    2,683
    Comparisons
    2,043
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    33,848
    Comparisons
    28,652
    Reviews
    27
    Average Words per Review
    619
    Rating
    7.9
    Comparisons
    Databricks logo
    Compared 43% of the time.
    Snowflake logo
    Compared 17% of the time.
    Starburst Enterprise logo
    Compared 12% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Dataiku logo
    Compared 2% of the time.
    Also Known As
    SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
    Learn More
    Dremio
    Video Not Available
    Overview

    Dremio is a data analytics platform designed to simplify and expedite the data analysis process by enabling direct querying across multiple data sources without the need for data replication. This solution stands out due to its approach to data lake transformation, offering tools that allow users to access and query data stored in various formats and locations as if it were all in a single relational database.

    At its core, Dremio facilitates a more streamlined data management experience. It integrates easily with existing data lakes, allowing organizations to continue using their storage of choice, such as AWS S3, Microsoft ADLS, or Hadoop, without data migration. Dremio supports SQL queries, which means it seamlessly integrates with familiar BI tools and data science frameworks, enhancing user accessibility and reducing the learning curve typically associated with adopting new data technologies.

    What Are Dremio's Key Features?

    • Data Reflections: Reduces query times by creating optimized representations of source data, which can accelerate performance without the complexity of traditional data warehousing solutions.
    • Semantic Layer: Allows users to define business metrics and dimensions centrally, ensuring consistency and governance across all analytics tools.
    • Built-in Security Features: Provides robust security measures, including column- and row-level security, ensuring compliance with data governance and privacy standards.
    • Support for Multiple Data Formats and Sources: Enables querying directly against a variety of data formats (Parquet, JSON, etc.) and sources without the need for conversion or replication.

    What Benefits Should Users Expect?

    When evaluating Dremio, potential users should look for feedback on its query performance, especially in environments with large and complex data sets. Reviews might highlight the efficiency gains from using Dremio’s data reflections and its ability to integrate with existing BI tools without significant changes to underlying data structures. Also, check how other users evaluate its ease of deployment and scalability, particularly in hybrid and cloud environments.

    How is Dremio Implemented Across Different Industries?

    Dremio is widely applicable across various industries, including finance, healthcare, and retail, where organizations benefit from rapid, on-demand access to large volumes of data spread across disparate systems. For instance, in healthcare, Dremio can be used to analyze patient outcomes across different data repositories, improving treatment strategies and operational efficiencies.

    What About Dremio’s Pricing, Licensing, and Support?

    Dremio offers a flexible pricing model that caters to different sizes and types of businesses, including a free community version for smaller teams and proof-of-concept projects. Their enterprise version is subscription-based, with pricing varying based on the deployment scale and support needs. Customer support is comprehensive, featuring dedicated assistance, online resources, and community support.

    Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm8%
    Computer Software Company8%
    Government5%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business39%
    Midsize Enterprise16%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise42%
    Large Enterprise44%
    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.
    771,212 professionals have used our research since 2012.

    Dremio is ranked 9th in Data Science Platforms with 6 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Dremio is rated 8.6, while Microsoft Power BI is rated 8.0. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Dataiku, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.

    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.