IBM Netezza Performance Server vs. Panoply vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

We can query the data source and treat multiple databases
as one with IBM Netezza Performance Server.



While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
management.



To drive organizational performance, Netezza Performance
Server automatically simplifies data and AI to centralize all analytics
activities on the device, exactly where the data resides.



For data processing and application dashboards, IBM Netezza
Performance Server is quite beneficial.





IBM Netezza Performance Server simplifies event setup
by notifying you when a hardware component fails, allowing you to quickly
replace it.

Incentivized

Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.

Incentivized

If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

Incentivized

• IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
• Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
• We can prioritize specific users and queries using IBM Netezza Performance Server.

Incentivized

• Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
• Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
• Query speed. Automated query optimization has really sped up our dashboards.

• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

Incentivized

• More tech support may make it easier as it is only limited to be done via company representatives
• Overhead cost for replacements and services looks like it is high compared to others
• Integration with other cloud based application will be great

Incentivized

• The user interface could use some improvement for analytical tools. Apart from that, it’s great.

• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

Incentivized

It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.

They were very helpful. We needed support for initial implementation.

Incentivized

Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.

Incentivized

Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.

Incentivized

• The appliance is all in one so we have all licenses and support contracts under one roof.
• The cost is expensive so ROI may take time to be realized.
• If done correctly, then Netezza provides the opportunity for huge ROI.

Incentivized

• Saved time on Redshift setup
• Saved support costs (monetary and temporal) by not having to set up on-premise
• Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms

• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

Incentivized