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 File System is compatible with almost all the query engines."
"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."
"The most valuable feature is the database."
"The performance is pretty good."
"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."
"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"It is closely integrated with other products in the MS portfolio."
"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."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"Helps our customers to discover trends, which provides useful information based on their business."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"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 price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"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."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Microsoft Analytics Platform System could have better support."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Functionality needs to be more up-to-date with competing products."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"The pricing model needs to be improved."
"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."
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 17th 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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