Apache Hadoop vs. Microsoft Power BI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.8 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

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
8.3
196 Ratings
2% above category average
Pixel Perfect reports00 Ratings8.3167 Ratings
Customizable dashboards00 Ratings8.7195 Ratings
Report Formatting Templates00 Ratings8.0178 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.0
194 Ratings
0% below category average
Drill-down analysis00 Ratings8.3191 Ratings
Formatting capabilities00 Ratings7.8191 Ratings
Integration with R or other statistical packages00 Ratings7.4143 Ratings
Report sharing and collaboration00 Ratings8.4189 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.0
187 Ratings
2% below category average
Publish to Web00 Ratings8.2177 Ratings
Publish to PDF00 Ratings8.1172 Ratings
Report Versioning00 Ratings7.7144 Ratings
Report Delivery Scheduling00 Ratings8.2147 Ratings
Delivery to Remote Servers00 Ratings7.9110 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
7.8
187 Ratings
2% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.2181 Ratings
Location Analytics / Geographic Visualization00 Ratings8.1166 Ratings
Predictive Analytics00 Ratings7.4136 Ratings
Pattern Recognition and Data Mining00 Ratings7.437 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.5
178 Ratings
0% above category average
Multi-User Support (named login)00 Ratings8.7168 Ratings
Role-Based Security Model00 Ratings8.4146 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.4158 Ratings
Report-Level Access Control00 Ratings8.347 Ratings
Single Sign-On (SSO)00 Ratings8.6140 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft Power BI
8.0
160 Ratings
3% above category average
Responsive Design for Web Access00 Ratings7.7150 Ratings
Mobile Application00 Ratings7.6131 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.9153 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
7.8
115 Ratings
1% above category average
REST API00 Ratings8.1103 Ratings
Javascript API00 Ratings7.684 Ratings
iFrames00 Ratings8.055 Ratings
Java API00 Ratings7.068 Ratings
Themeable User Interface (UI)00 Ratings7.690 Ratings
Customizable Platform (Open Source)00 Ratings8.444 Ratings
Best Alternatives
Apache HadoopMicrosoft Power BI
Small Businesses

No answers on this topic

Yellowfin
Yellowfin
Score 8.8 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.5 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
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User Ratings
Apache HadoopMicrosoft Power BI
Likelihood to Recommend
8.0
(37 ratings)
8.5
(197 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.5
(3 ratings)
Usability
8.0
(6 ratings)
8.3
(113 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
10.0
(52 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 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
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
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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
  • Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
  • Constant updates (this is both good and bad at times).
  • User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
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
  • It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
  • Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
  • Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
  • Would like to export each page or chart as an image.
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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
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
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Usability
Apache
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
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Microsoft
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
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Support Rating
Apache
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
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Microsoft
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
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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
Implementation Rating
Apache
No answers on this topic
Microsoft
It was integrated with our erp easily and was accessible on cloud.
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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 free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
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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
  • Power BI usage reduced the effort of analytical reports creation by about 80%
  • Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
  • AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.
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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