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Apache Hadoop vs Microsoft Analytics Platform System comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Hadoop
Ranking in Data Warehouse
7th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
41
Ranking in other categories
No ranking in other categories
Microsoft Analytics Platfor...
Ranking in Data Warehouse
19th
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.5%, down from 4.3% compared to the previous year. The mindshare of Microsoft Analytics Platform System is 2.2%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Apache Hadoop3.5%
Microsoft Analytics Platform System2.2%
Other94.3%
Data Warehouse
 

Featured Reviews

NR
Financial Advisor at a financial services firm with 10,001+ employees
Reliable performance maintained but requires ongoing management and support
Hadoop was used for years, but there were problems since the people who originally set it up left the firm. The group that owned it later didn't have the technical resources to properly maintain it. Although there was nothing wrong with Hadoop itself, issues arose without proper management and upgrades.
MahmoudMohamed1 - PeerSpot reviewer
Senior Data Engineer at Tatweer Educational Technologies Company - TETCO
Offers smooth data integration between systems, but requires better real-time analytics capabilities
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees. Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."
"Its flexibility in handling and storing large volumes of data is particularly beneficial, as is its resilience, which ensures data redundancy and fault tolerance."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"The tool's stability is good."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"It is closely integrated with other products in the MS portfolio."
"Helps our customers to discover trends, which provides useful information based on their business."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"This is a well-integrated solution and that integration empowers results."
"I like that it's integrated with other Azure products."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
 

Cons

"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"It could be more user-friendly."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"The solution is very expensive."
"The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"The pricing model needs to be improved."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Functionality needs to be more up-to-date with competing products."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"​Hybrid environments are complex to manage."
 

Pricing and Cost Advice

"The product is open-source, but some associated licensing fees depend on the subscription level."
"We just use the free version."
"If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
"Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
"This is a low cost and powerful solution."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Users have to pay extra for premium-level technical support."
"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
34%
Computer Software Company
7%
University
5%
Manufacturing Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise21
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
 

Questions from the Community

What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it. This wa...
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Also Known As

No data available
Microsoft APS, MS Analytics Platform System
 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2026.
881,176 professionals have used our research since 2012.