We performed a comparison between Apache Hadoop and IBM Netezza Performance Server 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."As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"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 solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"It's open-source, so it's very cost-effective."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"The most valuable feature would be the fact that it has been running for awhile in an appliance format."
"We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday."
"The performance is most important to me, and it helps our ability to make business decisions quickly."
"IBM Netezza Performance Server is a cost-effective solution."
"The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that."
"Distribution concurrency control."
"It could be more user-friendly."
"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."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"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."
"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 integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"Concurrency limit needs to be increased somewhat."
"We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that."
"The scalability is not as expected. The capacity in the black box is not enough."
"Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints."
"The only issue is that it's not expandable."
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Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews. Apache Hadoop is rated 7.8, while IBM Netezza Performance Server is rated 8.0. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata and Snowflake, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and IBM Db2 Warehouse on Cloud. See our Apache Hadoop vs. IBM Netezza Performance Server report.
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