IBM Netezza Performance Server Features
Administration (3)
Database Management
Supports for managing different types of databases and integration methods.
Access Control
Gives admistrators control over data-related privilages and accessability
Data Security
Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.
Federation (4)
Architecture
Creates integrations and allows management of connected contains.
Provisioning
Allows administrators to organize components of the database to maintain instance efficiency.
Orchestration
Allows admisistrators to manage and organize storage, networks, and datacenters.
API / Integrations
Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.
Transformation (3)
Data Visualization
Processes data and represents interpretations in a variety of graphic formats.
Application Performance
Functions when integrated with multiple forms of external applications.
Data Modeling
Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.
Data Management (6)
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Data Integration
Consolidates, Cleanses and Normalizes data from multiple disparate sources.
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Data Compression
Helps save storage capacity and improves query performance.
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Data Quality
Eliminates data inconsistency and duplications ensuring data integrity.
Built-In Data Analytics
SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
In-Database Machine Learning
Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.
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Data Lake Analytics
Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS
Integration (3)
AI/ ML Integration
Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
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BI Tool Integration
Integrates with BI Tools to transform data into Actionable Insights.
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Data lake Integration
Provides speed in data processing and capturing unstructured, semi-structured and streaming data.
Deployment (2)
On-Premise
Provides On-Premise deployment options.
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Cloud
Provides Cloud deployment options (private or public cloud, hybrid cloud).
Performance (1)
Scalability
Manages huge volumes of data, upscale or downscale as per demand.
Security (2)
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Data Governance
Policies, procedures and standards to manage and access data.
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Data Security
Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion
Generative AI (2)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.





