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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.

Description

Paralus is an open-source tool available at no cost that facilitates controlled and audited access to Kubernetes infrastructure. It features on-demand service account creation and manages user credentials effectively, working in harmony with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) frameworks. By implementing zero-trust security practices, Paralus guarantees safe access to Kubernetes clusters, handling the creation, maintenance, and revocation of access configurations across multiple clusters, projects, and namespaces. Users can choose between a web-based graphical interface or command-line tools for managing kubeconfigs directly from the terminal, ensuring flexibility in usage. In addition to these features, Paralus provides robust auditing capabilities, which deliver thorough logging of user activities and resource access, aiding in both real-time updates and historical analysis. The installation process is user-friendly, with Helm charts readily available for deployment in diverse environments, including major cloud platforms and on-premises configurations. With its focus on security and usability, Paralus is an invaluable asset for organizations looking to enhance their Kubernetes management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Arcion
Coginiti
DbVisualizer
Digna
Google Cloud Platform
IBM Cloud
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Impetus
Kubernetes
Lyftrondata
Nucleon Database Master
Semarchy xDI
StreamFlux

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Arcion
Coginiti
DbVisualizer
Digna
Google Cloud Platform
IBM Cloud
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Impetus
Kubernetes
Lyftrondata
Nucleon Database Master
Semarchy xDI
StreamFlux

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/netezza

Vendor Details

Company Name

Paralus

Website

www.paralus.io

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

Privileged Access Management

Application Access Control
Behavioral Analytics
Credential Management
Endpoint Management
For MSPs
Granular Access Controls
Least Privilege
Multifactor Authentication
Password Management
Policy Management
Remote Access Management
Threat Intelligence
User Activity Monitoring

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Alternatives

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