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Average Ratings 0 Ratings
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
SwiftStack is a versatile data storage and management solution designed for applications and workflows that rely heavily on data, enabling effortless access to information across both private and public infrastructures. Its on-premises offering, SwiftStack Storage, is a scalable and geographically dispersed object and file storage solution that can begin with tens of terabytes and scale to hundreds of petabytes. By integrating your current enterprise data into the SwiftStack platform, you can enhance accessibility for your contemporary cloud-native applications without the need for another extensive storage migration, utilizing your existing tier 1 storage effectively. SwiftStack 1space further optimizes data management by distributing information across various clouds, both public and private, based on operator-defined policies, thereby bringing applications and users closer to their needed data. This system creates a unified addressable namespace, ensuring that data movement within the platform remains seamless and transparent to both applications and users alike, enhancing the overall efficiency of data access and management. Moreover, this approach simplifies the complexities associated with data handling in multi-cloud environments, allowing organizations to focus on their core operations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Arcion
Captain Compliance
Coginiti
DBHawk
Datametica
DbVisualizer
IBM Cloud Pak for Data
IBM watsonx.data
IRI Voracity
Integrations
Amazon Web Services (AWS)
Arcion
Captain Compliance
Coginiti
DBHawk
Datametica
DbVisualizer
IBM Cloud Pak for Data
IBM watsonx.data
IRI Voracity
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
SwiftStack
Founded
2011
Country
United States
Website
swiftstack.com
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
Cloud Storage
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
IT Management
Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring