Related Products
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About
100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.
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About
Paralus is a free, open source tool that enables controlled, audited access to Kubernetes infrastructure. It provides just-in-time service account creation and user-level credential management, integrating seamlessly with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) systems. Paralus applies zero-trust security principles, ensuring secure access to Kubernetes clusters by generating, maintaining, and revoking access configurations across clusters, projects, and namespaces. It offers both a browser-based graphical user interface and command-line interface tools for managing kubeconfigs directly from the terminal. Additionally, Paralus includes comprehensive auditing tools that provide detailed logging of activities and resource access, facilitating real-time and historical tracking. Installation is straightforward, with Helm charts available for deployment across various environments, including major cloud providers and on-premises setups.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies and analysts that require a data warehouse and analytics platform to do data science and machine learning with data volumes
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Audience
DevOps teams looking for a tool to implement zero-trust security measures across multiple Kubernetes clusters
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/netezza
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Company InformationParalus
www.paralus.io
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
Microsoft Azure
Supported
Advanced Query Tool (AQT)
Supported
Captain Compliance
Supported
Cloudera Data Platform
Supported
Coginiti
Supported
DbVisualizer
Supported
Digna
Supported
Google Cloud Platform
Not Supported
Helm
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Microsoft Azure
Supported
Advanced Query Tool (AQT)
Not Supported
Captain Compliance
Not Supported
Cloudera Data Platform
Not Supported
Coginiti
Not Supported
DbVisualizer
Not Supported
Digna
Not Supported
Google Cloud Platform
Supported
Helm
Supported
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