Apache Hadoop vs. Microsoft Analytics Platform System Comparison

Apache Hadoop

Microsoft Analytics Platform System

Apache Hadoop

Read 10 Apache Hadoop reviews.

12,184 views|10,135 comparisons

Microsoft Analytics Platform System

Read 4 Microsoft Analytics Platform System reviews.

880 views|492 comparisons

Most Helpful Review

Anonymous User

Co-Founder at a tech services company

Powerful data ingestion and consolidation tools prepare the data for predictive analytics

Using this solution has allowed us to consolidate the data. It has made it such that data science-based algorithms can be written for predictive... Read more »

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Free Report: Apache Hadoop vs. Microsoft Analytics Platform System

Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2021.

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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." More Apache Hadoop Pros »	"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." More Microsoft Analytics Platform System Pros »
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." More Apache Hadoop Cons »	"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." More Microsoft Analytics Platform System Cons »

Pricing and Cost Advice
"This is a low cost and powerful solution." More Apache Hadoop Pricing and Cost Advice »	"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." More Microsoft Analytics Platform System Pricing and Cost Advice »

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Questions from the Community
What is the biggest difference between Apache Hadoop and Snowflake? 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 » Read all 3 answers Which is the best RDMBS solution for big data? 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 » Read all 4 answers What do you like most about Apache Hadoop? Top Answer: The most valuable features are powerful tools for ingestion, as data is in multiple systems. Read all 8 answers	What do you like most about Microsoft Analytics Platform System? Top Answer: I like that it's integrated with other Azure products. Read all 3 answers What is your experience regarding pricing and costs for Microsoft Analytics Platform System? 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 » What needs improvement with Microsoft Analytics Platform System? Top Answer: I think the biggest problem with the product is that it does a data ingest model, which is very expensive. Read all 3 answers
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
VMware Tanzu Greenplum vs. Apache Hadoop Compared 20% of the time. Snowflake vs. Apache Hadoop Compared 19% of the time. Oracle Exadata vs. Apache Hadoop Compared 16% of the time. Vertica vs. Apache Hadoop Compared 11% of the time. Amazon Redshift vs. Apache Hadoop Compared 1% of the time. See more Apache Hadoop competitors » + Add more products to compare	Microsoft Azure Synapse Analytics vs. Microsoft Analytics Platform System Compared 28% of the time. Microsoft Parallel Data Warehouse vs. Microsoft Analytics Platform System Compared 16% of the time. Oracle Exadata vs. Microsoft Analytics Platform System Compared 11% of the time. Oracle Big Data Appliance vs. Microsoft Analytics Platform System Compared 10% of the time. Amazon Redshift vs. Microsoft Analytics Platform System Compared 8% of the time. See more Microsoft Analytics Platform System competitors » + Add more products to compare
Also Known As
	Microsoft APS
Learn
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	Learn more about Microsoft Analytics Platform System Learn More
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
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%

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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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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