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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
6th
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 February 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.6%, down from 4.3% compared to the previous year. The mindshare of Microsoft Analytics Platform System is 2.3%, 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 Hadoop3.6%
Microsoft Analytics Platform System2.3%
Other94.1%
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

"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."
"The most valuable feature is the database."
"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."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"This is a well-integrated solution and that integration empowers results."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"I like that it's integrated with other Azure products."
"It is closely integrated with other products in the MS portfolio."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"Helps our customers to discover trends, which provides useful information based on their business."
 

Cons

"In certain cases, the configurations for dealing with data skewness do not make any sense."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"The product's availability of comprehensive training materials could be improved for faster onboarding and skill development among team members."
"There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required."
"The solution is very expensive."
"Hadoop lacks OLAP capabilities."
"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it."
"The upgrade path should be improved because it is not as easy as it should be."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"​Hybrid environments are complex to manage."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"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."
"Microsoft Analytics Platform System could have better support."
 

Pricing and Cost Advice

"For any big enterprise the costs can be handled, and it is suitable for big enterprises because the scale of data is large. For medium and small enterprises, the tool is on the high-price side."
"The price of Apache Hadoop could be less expensive."
"We just use the free version."
"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."
"The product is open-source, but some associated licensing fees depend on the subscription level."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"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."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
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Top Industries

By visitors reading reviews
Financial Services Firm
33%
Computer Software Company
6%
Government
5%
Manufacturing Company
4%
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.
881,515 professionals have used our research since 2012.