We performed a comparison between BigQuery and IBM Netezza Performance Server based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"As a cloud solution, it's easy to set up."
"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."
"We like the machine learning features and the high-performance database engine."
"The performance is most important to me, and it helps our ability to make business decisions quickly."
"The most valuable feature would be the fact that it has been running for awhile in an appliance format."
"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."
"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 underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product."
"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."
"IBM Netezza Performance Server is a cost-effective solution."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"The main challenges are in the areas of performance and cost optimizations."
"We'd like to see more local data residency."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"Some of the queries are complex and difficult to understand."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"There are some limitations in the query latency compared to what it was three years ago."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"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 scalability is not as expected. The capacity in the black box is not enough."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"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."
"In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"Concurrency limit needs to be increased somewhat."
"The only issue is that it's not expandable."
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BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews. BigQuery is rated 8.2, while IBM Netezza Performance Server is rated 8.0. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". 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". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse and Vertica, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and SQL Server. See our BigQuery vs. IBM Netezza Performance Server report.
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