We performed a comparison between IBM Netezza Performance Server and Snowflake 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."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."
"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."
"IBM Netezza Performance Server is a cost-effective solution."
"The most valuable feature would be the fact that it has been running for awhile in an appliance format."
"Distribution concurrency control."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"Very easy to use and easy to query."
"The most valuable features of Snowflake are that you have to pay per usage, and you don't have to worry about the maintenance of the data warehouse because it is on the cloud."
"I like the fact that we don't need a DBA. It automatically scales stuff."
"The solution is very stable."
"It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability."
"The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
"I have found the solution's most valuable features to be storage, flexibility, ease of use, and security."
"The syntax is advanced which reduces the time to write code."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"The scalability is not as expected. The capacity in the black box is not enough."
"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."
"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."
"Concurrency limit needs to be increased somewhat."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"It's difficult to know how to size everything correctly."
"The solution needs more connectors."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"The scheduling system can definitely be better because we had to use external airflow for that. There should be orchestration for the scheduling system. Snowflake currently does not support machine learning, so it is just storage. They also need some alternatives for SQL Query. There should also be support for Spark in different languages such as Python."
"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"We would like to see more security including more masking and more encryption at the database level."
"Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building. They should provide provisions to collect ETL pipeline capabilities, reduce developer work, and make more rapid application development, rather than some customizations. There are very few options, but they are building. I hope they will build ETL rapid application development provisions with more variety."
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IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews while Snowflake is ranked 1st in Data Warehouse with 94 reviews. IBM Netezza Performance Server is rated 8.0, while Snowflake is rated 8.4. The top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Teradata, SQL Server and IBM Db2 Database, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our IBM Netezza Performance Server vs. Snowflake report.
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