Compare Apache Hadoop vs. Microsoft Analytics Platform System

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Most Helpful Review
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Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2021.
456,249 professionals have used our research since 2012.
Quotes From Members

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

Pros
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics.""The best thing about this solution is that it is very powerful and very cheap.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""The ability to add multiple nodes without any restriction is the solution's most valuable aspect.""It's good for storing historical data and handling analytics on a huge amount of data.""The most valuable feature is the database.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."

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"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.""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.""This is a well-integrated solution and that integration empowers results."

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Cons
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.""The upgrade path should be improved because it is not as easy as it should be.""In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""It would be good to have more advanced analytics tools.""It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.""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."

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"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps.""Functionality needs to be more up-to-date with competing products.""The pricing model needs to be improved.""Machine learning and artificial intelligence capabilities need to be more friendly for beginning users.""I think the biggest problem with the product is that it does a data ingest model, which is very expensive.""Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."

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Pricing and Cost Advice
"This is a low cost and powerful solution."

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"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."

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Questions from the Community
Top Answer: Apache Hadoop is for data lake use cases. But getting data out of Hadoop for meaningful analytics is indeed need quite an amount of work. by either using spark/Hive/presto and so on. The way i look at… more »
Top Answer: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: The most valuable features are powerful tools for ingestion, as data is in multiple systems.
Top Answer: I like that it's integrated with other Azure products.
Top Answer: Besides the standard licensing users have to pay additional fees for technical support. The default support I think is just the same as with other products and it has become industry standard to be… more »
Top Answer: I think the biggest problem with the product is that it does a data ingest model, which is very expensive.
Ranking
3rd
out of 30 in Data Warehouse
Views
12,184
Comparisons
10,135
Reviews
10
Average Words per Review
426
Rating
7.7
15th
out of 30 in Data Warehouse
Views
880
Comparisons
492
Reviews
4
Average Words per Review
839
Rating
6.3
Popular Comparisons
Compared 19% of the time.
Compared 16% of the time.
Compared 11% of the time.
Compared 1% of the time.
Also Known As
Microsoft APS
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Apache
Microsoft
Overview
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.
Offer
Learn more about Apache Hadoop
Learn more about Microsoft Analytics Platform System
Sample Customers
Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web LabTransport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Top Industries
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider17%
Financial Services Firm13%
Media Company6%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider19%
Media Company15%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business37%
Midsize Enterprise21%
Large Enterprise42%
REVIEWERS
Small Business38%
Large Enterprise63%
Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2021.
456,249 professionals have used our research since 2012.

Apache Hadoop is ranked 3rd in Data Warehouse with 10 reviews while Microsoft Analytics Platform System is ranked 15th in Data Warehouse with 4 reviews. Apache Hadoop is rated 7.8, while Microsoft Analytics Platform System is rated 6.2. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of Microsoft Analytics Platform System writes "Has unique functionality for advanced analytics but could use enhancement in machine learning and AI features". Apache Hadoop is most compared with VMware Tanzu Greenplum, Snowflake, Oracle Exadata, Vertica and Amazon Redshift, whereas Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Microsoft Parallel Data Warehouse, Oracle Exadata, Oracle Big Data Appliance and Amazon Redshift. See our Apache Hadoop vs. Microsoft Analytics Platform System report.

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