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."Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"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."
"The tool's stability is good."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"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 most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"Helps our customers to discover trends, which provides useful information based on their business."
"It is closely integrated with other products in the MS portfolio."
"This is a well-integrated solution and that integration empowers results."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"I like that it's integrated with other Azure products."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"It would be good to have more advanced analytics tools."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"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."
"Hadoop's security could be better."
"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."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"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."
"Hybrid environments are complex to manage."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"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."
"Functionality needs to be more up-to-date with competing products."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
More Microsoft Analytics Platform System Pricing and Cost Advice →
Apache Hadoop is ranked 5th in Data Warehouse with 33 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, Teradata, IBM Netezza Performance Server and Snowflake. See our Apache Hadoop vs. Microsoft Analytics Platform System report.
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