We performed a comparison between Apache Hadoop and Microsoft Analytics Platform System based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Apache Hadoop is crucial in projects that save and retrieve data daily. Its valuable features are scalability and stability. It is easy to integrate with the existing infrastructure."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"The tool's stability is good."
"One valuable feature is that we can download data."
"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."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"It's good for storing historical data and handling analytics on a huge amount of data."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"I like that it's integrated with other Azure products."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"This is a well-integrated solution and that integration empowers results."
"Helps our customers to discover trends, which provides useful information based on their business."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"It is closely integrated with other products in the MS portfolio."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"Since it is an open-source product, there won't be much support."
"It would be good to have more advanced analytics tools."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"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 flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Microsoft Analytics Platform System could have better support."
"Hybrid environments are complex to manage."
"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."
"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."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
More Microsoft Analytics Platform System Pricing and Cost Advice →
Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while Microsoft Analytics Platform System is ranked 16th in Data Warehouse with 9 reviews. Apache Hadoop is rated 7.8, while Microsoft Analytics Platform System is rated 6.6. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of Microsoft Analytics Platform System writes "Offers smooth data integration between systems, but requires better real-time analytics capabilities". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics and IBM Netezza Performance Server. See our Apache Hadoop vs. Microsoft Analytics Platform System report.
See our list of best Data Warehouse vendors.
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.