Apache Hadoop vs. Microsoft BI (MSBI)

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 BI (MSBI)
Score 8.4 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$9.99
per user/per month
Pricing
Apache HadoopMicrosoft BI (MSBI)
Editions & Modules
No answers on this topic
Power BI Pro
$9.99
per user/per month
Power BI Premium
4,995
per month
Offerings
Pricing Offerings
HadoopMicrosoft BI (MSBI)
Free Trial
NoNo
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 BI (MSBI)
Considered Both Products
Hadoop

No answer on this topic

Microsoft BI (MSBI)
Chose Microsoft BI (MSBI)
Tableau is a very feature rich tool, but it is also a pricey tool relative to Microsoft BI. Tableau's visualizations are very nice, but those features don't necessarily give us a strategic advantage or allow us get our work done any quicker. The monthly fee that you pay for …
Chose Microsoft BI (MSBI)
-Tableau is clearly more cutting edge when it comes to data visualization and connecting to multiple data sources (support for MongoDB, Hadoop, etc).
-Assuming your data is not that sophisticated, Microsoft BI is a great product. I would say its a good "all around" BI tool. It …
Top Pros
Top Cons
Features
Apache HadoopMicrosoft BI (MSBI)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.6
49 Ratings
5% above category average
Pixel Perfect reports00 Ratings9.042 Ratings
Customizable dashboards00 Ratings8.049 Ratings
Report Formatting Templates00 Ratings8.947 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.7
49 Ratings
7% above category average
Drill-down analysis00 Ratings8.944 Ratings
Formatting capabilities00 Ratings8.049 Ratings
Integration with R or other statistical packages00 Ratings8.939 Ratings
Report sharing and collaboration00 Ratings8.949 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.9
48 Ratings
6% above category average
Publish to Web00 Ratings8.944 Ratings
Publish to PDF00 Ratings8.944 Ratings
Report Versioning00 Ratings8.940 Ratings
Report Delivery Scheduling00 Ratings8.943 Ratings
Delivery to Remote Servers00 Ratings8.924 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.9
48 Ratings
10% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.947 Ratings
Location Analytics / Geographic Visualization00 Ratings8.944 Ratings
Predictive Analytics00 Ratings8.942 Ratings
Pattern Recognition and Data Mining00 Ratings9.01 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.9
49 Ratings
3% above category average
Multi-User Support (named login)00 Ratings8.946 Ratings
Role-Based Security Model00 Ratings8.943 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.946 Ratings
Report-Level Access Control00 Ratings9.01 Ratings
Single Sign-On (SSO)00 Ratings8.928 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.5
39 Ratings
6% above category average
Responsive Design for Web Access00 Ratings8.036 Ratings
Mobile Application00 Ratings8.027 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.936 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Apache Hadoop
-
Ratings
Microsoft BI (MSBI)
8.8
21 Ratings
10% above category average
REST API00 Ratings8.919 Ratings
Javascript API00 Ratings8.919 Ratings
iFrames00 Ratings8.918 Ratings
Java API00 Ratings8.917 Ratings
Themeable User Interface (UI)00 Ratings8.918 Ratings
Customizable Platform (Open Source)00 Ratings8.017 Ratings
Best Alternatives
Apache HadoopMicrosoft BI (MSBI)
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 8.9 out of 10
TIBCO Jaspersoft Community Edition
TIBCO Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopMicrosoft BI (MSBI)
Likelihood to Recommend
8.9
(36 ratings)
8.7
(73 ratings)
Likelihood to Renew
9.6
(8 ratings)
8.0
(25 ratings)
Usability
8.5
(5 ratings)
8.9
(14 ratings)
Availability
-
(0 ratings)
9.5
(2 ratings)
Performance
8.0
(1 ratings)
7.0
(2 ratings)
Support Rating
7.5
(3 ratings)
8.9
(15 ratings)
In-Person Training
-
(0 ratings)
6.9
(3 ratings)
Online Training
6.1
(2 ratings)
8.5
(2 ratings)
Implementation Rating
-
(0 ratings)
9.6
(7 ratings)
Configurability
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
Apache HadoopMicrosoft BI (MSBI)
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
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
Read full review
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.
Read full review
Microsoft
  • Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
  • Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
  • Transfer of data from one application to another via Excel and comparison of data attributes between applications
  • Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.
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 race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
  • Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
  • Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
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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 BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
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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
The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
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Reliability and Availability
Apache
No answers on this topic
Microsoft
The product has been reliable.
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Performance
Apache
No answers on this topic
Microsoft
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
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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
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
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In-Person Training
Apache
No answers on this topic
Microsoft
This training was more directed toward what the product was capable of rather than actual programming.
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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
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
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Implementation Rating
Apache
No answers on this topic
Microsoft
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
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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
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
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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
  • As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
  • However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.
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ScreenShots