Compare Apache Hadoop vs. Microsoft Analytics Platform System
Apache Hadoop is ranked 5th in Data Warehouse with 10 reviews while Microsoft Analytics Platform System is ranked 15th in Data Warehouse with 2 reviews. Apache Hadoop is rated 7.6, while Microsoft Analytics Platform System is rated 8.0. The top reviewer of Apache Hadoop writes "We are able to ingest huge volumes/varieties of data, but it needs a data visualization tool and enhanced Ambari for management". On the other hand, the top reviewer of Microsoft Analytics Platform System writes "Easy to install, good connectivity with databases, and good reporting". Apache Hadoop is most compared with Snowflake, Pivotal Greenplum and Oracle Exadata, whereas Microsoft Analytics Platform System is most compared with Apache Hadoop, Oracle Exadata and Microsoft Azure SQL Data Warehouse. See our Apache Hadoop vs. Microsoft Analytics Platform System report.
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 Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2020. 389,978 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 feature is the database. It's good for storing historical data and handling analytics on a huge amount of data. The ability to add multiple nodes without any restriction is the solution's most valuable aspect. What comes with the standard setup is what we mostly use, but Ambari is the most important. The best thing about this solution is that it is very powerful and very cheap. 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. Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing. Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges. | This solution will connect to any database, you can combine databases, and you can create a cube or tabular model. 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. |
Cons | |
It would be good to have more advanced analytics tools. The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment. There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution. In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency. The upgrade path should be improved because it is not as easy as it should be. We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it. I would like to see more direct integration of visualization applications. Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them. | The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps. Hybrid environments are complex to manage. |
Pricing and Cost Advice | |
This is a low cost and powerful solution. There are no licensing costs involved, hence money is saved on the software infrastructure. | Information Not Available |
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Ranking  | |
Views 12,683 Comparisons 10,913 Reviews 10 Average Words per Review 427 Avg. Rating 7.5 | Views 883 Comparisons 479 Reviews 1 Average Words per Review 204 Avg. Rating 8.0 |
Top Comparisons | |
 Compared 33% of the time.  Compared 27% of the time.  Compared 13% of the time. |  Compared 19% of the time. Compared 18% of the time.  Compared 16% of the time. |
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 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 Lab | Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International |
Top Industries | |
Software R&D Company38% Financial Services Firm16% Comms Service Provider10% Government7% | No Data Available |
Find out what your peers are saying about Apache Hadoop vs. Microsoft Analytics Platform System and other solutions. Updated: January 2020.
389,978 professionals have used our research since 2012.
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