IBM Netezza Performance Server

IBM Netezza Performance Server

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Score 8.5 out of 100
IBM Netezza Performance Server

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What is IBM Netezza Performance Server?

Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for…

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What is Db2?

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

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Product Details

What is IBM Netezza Performance Server?

Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).

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IBM Netezza Performance Server Technical Details

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Reviews and Ratings

 (29)

Reviews

(1-6 of 6)
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Maryam Abbott Saldivia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • By concentrating all analytical activities in one place, where the data resides, Netezza Performance Server simplifies and speeds up data warehouse setup and analysis.
  • For the business, Netezza Performance Server provides performance benefits in the data processing.
Daniell Mercer | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Collaborate with hybrid multi-cloud techniques that are flexible and high-performance.
  • Simplifies data analysis by centralizing all actions in one location where the data lives.
  • Enables optimization of new data pipelines.
  • Provides seamless updates with full compatibility with Twinfin, Striper, and Mako workloads.
  • Beneficial for data silo elimination and data virtualization to query data across multiple systems.
  • Flexible to make the most of data.