Apache Hadoop vs. Microsoft Power BI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.3 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Microsoft Power BI
Score 8.4 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$10
per month per user
Pricing
Apache HadoopMicrosoft Power BI
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopMicrosoft Power BI
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopMicrosoft Power BI
Considered Both Products
Hadoop
Chose Apache Hadoop
Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing. The use of a non-proprietary physical layer greatly reduces dependency on technology. It also offers elastic dimensioning capability when deployed on virtual machines or …
Microsoft Power BI

No answer on this topic

Top Pros
Top Cons
Features
Apache HadoopMicrosoft Power BI
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.2
138 Ratings
13% below category average
Pixel Perfect reports00 Ratings6.5118 Ratings
Customizable dashboards00 Ratings8.0138 Ratings
Report Formatting Templates00 Ratings7.2126 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.0
139 Ratings
15% below category average
Drill-down analysis00 Ratings7.2138 Ratings
Formatting capabilities00 Ratings6.4137 Ratings
Integration with R or other statistical packages00 Ratings7.5102 Ratings
Report sharing and collaboration00 Ratings7.0134 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.8
133 Ratings
7% below category average
Publish to Web00 Ratings8.1128 Ratings
Publish to PDF00 Ratings8.1121 Ratings
Report Versioning00 Ratings7.3101 Ratings
Report Delivery Scheduling00 Ratings8.7103 Ratings
Delivery to Remote Servers00 Ratings6.773 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.6
135 Ratings
6% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.5130 Ratings
Location Analytics / Geographic Visualization00 Ratings7.8121 Ratings
Predictive Analytics00 Ratings7.4101 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.2
126 Ratings
5% below category average
Multi-User Support (named login)00 Ratings8.2120 Ratings
Role-Based Security Model00 Ratings8.8102 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.4110 Ratings
Report-Level Access Control00 Ratings7.01 Ratings
Single Sign-On (SSO)00 Ratings8.694 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.9
117 Ratings
1% below category average
Responsive Design for Web Access00 Ratings8.0111 Ratings
Mobile Application00 Ratings7.493 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.4112 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.4
80 Ratings
6% above category average
REST API00 Ratings8.172 Ratings
Javascript API00 Ratings9.656 Ratings
iFrames00 Ratings8.055 Ratings
Java API00 Ratings7.946 Ratings
Themeable User Interface (UI)00 Ratings8.263 Ratings
Customizable Platform (Open Source)00 Ratings8.444 Ratings
Best Alternatives
Apache HadoopMicrosoft Power BI
Small Businesses

No answers on this topic

BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopMicrosoft Power BI
Likelihood to Recommend
8.9
(36 ratings)
7.9
(140 ratings)
Likelihood to Renew
9.6
(8 ratings)
10.0
(1 ratings)
Usability
8.5
(5 ratings)
9.0
(56 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
7.9
(52 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopMicrosoft Power BI
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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Microsoft
In operations we use the tool for many different topics, from factory quality systems to high level reviews. We have created kind of an internal "App Store" based on Power BI where you have a lot of different dashboards for different solutions (cost, cash, health and safety, sales, factories, distribution centers...) and you as an user just need to get in that "App Store" and enter in whatever tool can be useful for you. It is open to all the operations employees and can use on demand. Also it has raised the imagination of our colleagues, as they are not only working by themselves creating new reports, but also raising fantastic ideas that can be extended for the usage of all the community.
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Pros
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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Microsoft
  • Quickly filter and view granular data sets with easily configurable reporting figures.
  • The ability to quickly switch between tabs allows for historical data comparisons and progress tracking.
  • It's helpful to dive into the data and break it down from high levels to small.
  • Achieve actionable insights faster by using real-time data. It's incredible to have online access to reports.
Read full review
Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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Microsoft
  • The desktop app is great but needs a lot of performance improvements
  • No MacOS Version for the Desktop app, this is a big limitation for business since executives prefer Macs
  • Premium Cloud Version of Power BI is awfully expensive
  • On-Premise Version of the Power BI Reports Server is bundled only with SQL Server Enterprise License and cannot be purchased separately and requires Software Assurance Subscription
  • On-Premise Power BI Report Server doesn't support ADFS, AzureAD or any Claims-Based authentication platform, a sad disadvantage for enterprises
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Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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Microsoft
I find it helpful and easy to use
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Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
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Microsoft
At this point, I think we all know who has taken the lead in the business intelligence and analytics market worldwide. With fresh new updates every other day on top of an already robustly built product with all features that one can dream of is a no brainer, I feel. Microsoft will invariably be synonymous with quality and professionalism.
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Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
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Microsoft
I can't really speak to the support overall, [but] I will say that in the almost three years I have used the system, I have only needed to contact their support team once. I think the team was helpful, but it did take some time for us to resolve the issues/ request that they had. I guess the good news is that the system is pretty stable, and I personally have rarely needed to contact their technical support team.
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Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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Microsoft
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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Microsoft
[Microsoft] Power BI is practical and effective, like a hammer for a nail, it is easy to use and produces very quickly the results that in most cases are urgently required by clients (nice reports to share on the web). To start using [Microsoft] Power BI you need a business email address, with that you create an account in Power BI Service and in less than 1 hour you will have installed Power BI Desktop, a report will have been created and it will have been published on the web .
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Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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Microsoft
  • It helps us track and achieve company goals.
  • It shows us [our] performance in areas we could not previously track and allows us to see and work on how to improve their performance.
  • Quick easy access for executives to use in helping teams and addressing issues.
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ScreenShots

Microsoft Power BI Screenshots

Screenshot of Microsoft Power BI - Turns insights into impact for business usersScreenshot of Power BI integrates easily with Microsoft 365Screenshot of Microsoft Power BI - AI-Powered CapabilitiesScreenshot of Microsoft Power BI - Copilot can be used to create reportsScreenshot of Microsoft Power BI - Data HubScreenshot of Microsoft Power BI - Scales as organizational needs grow