IBM Netezza Performance Server vs. ZAP Data Hub

Netezza Performance Server enhances the data scientist's ability to rapidly design, train, and deploy machine learning models in the database. Netezza Performance Server is essential for implementing cognitive machine learning, providing data scientists with in-database analytics, and enabling them to collaborate on a single platform. Netezza Performance Server supports the use of built-in Spark as well as Python and R for rapid and sophisticated data science and machine learning adoption at scale.

Incentivized

ZAP is an incredible tool for those IT Organizations that need to stay lean. Within days, I was able to implement the ZAP solution instead of hiring Developers and ETL developers to tie into multiple Data infrastructures.

Incentivized

• The speed of operations is really second to none
• The data control aspect is really effective and very useful
• Stability and no latency issues notices during operations

Incentivized

• Extremely Robust Interface
• Implementation and Connection to Data Stores extremely fast. I was able to implement BI reporting within days.
• Fantastic Support
• Cost Effective Tool for any IT organization. Reduction in FTE, Data Reporting Deployment, and Cube Creation.

Incentivized

• The cost is expensive for medium-sized and smaller companies.
• IBM could bring back the technical account managers.
• The procurement process is a hassle.

Incentivized

• I would love to see a strong integration with Google Analytics. ZAP works great with CRM platforms but would be interested to get the metrics on how marketing campaigns are tied to organic traffic and PPC.

Incentivized

With a simple user interface and
access to IBM's online instructions, Netezza Performance Server is easy to
operate. It also has built-in contribution facilities, as well as good customer
support, to make the DBA's job easier.

Incentivized

ZAP has a better interface and user-friendly.

Incentivized

• It allows us to work together simultaneously in the database to query our custom results.
• It requires users to know the object name as it does not pop up in their text editor. Thus, users take more time in writing queries.

Incentivized