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. |
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pricing and Cost Advice | |
"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." More Microsoft Analytics Platform System Pricing and Cost Advice » |
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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 | |
Views 12,184 Comparisons 10,135 Reviews 10 Average Words per Review 426 Rating 7.7 | Views 880 Comparisons 492 Reviews 4 Average Words per Review 839 Rating 6.3 |
Popular Comparisons | |
![]() Compared 20% of the time. ![]() Compared 19% of the time. ![]() Compared 16% of the time. ![]() Compared 11% of the time. ![]() Compared 1% of the time. | ![]() Compared 28% of the time. ![]() Compared 16% of the time. ![]() Compared 11% of the time. ![]() Compared 10% of the time. ![]() Compared 8% 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 | |
Computer Software Company34% Comms Service Provider17% Financial Services Firm13% Media Company6% | Computer Software Company27% Comms Service Provider19% Media Company15% Financial Services Firm6% |
Company Size | |
Small Business37% Midsize Enterprise21% Large Enterprise42% | 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.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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