RaffRaff Technologies
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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
Raff is a US-based cloud infrastructure platform for developers, startups, agencies, and growing businesses. It provides Linux and Windows virtual machines, managed Kubernetes, managed databases, object storage, block volumes, private networking, load balancers, backups, and serverless functions. Customers provision and manage infrastructure through a cloud dashboard, REST API, command-line interface, and Terraform provider. Raff cloud servers use AMD EPYC processors and NVMe SSD storage and include DDoS protection and unmetered bandwidth. The platform supports application hosting, containerized workloads, data storage, and software development environments, with monthly plans for teams seeking virtual servers and related cloud services through one provider.
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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
Not 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
Developers, startups, small and medium-sized businesses, SaaS companies, IT teams, MSPs, and digital agencies.
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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
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
$3.49/month
The entry cloud-server plan is $3.49 for the first month, then $4.99/month. Higher configurations cost more; monthly plans are available without a long-term commitment.
Free Version
Not Supported
Free Trial
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 InformationRaff Technologies
Founded: 2025
United States
rafftechnologies.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Infrastructure-as-a-Service (IaaS) Features
Analytics / Reporting
Not Supported
Configuration Management
Supported
Data Migration
Not Supported
Data Security
Not Supported
Load Balancing
Supported
Log Access
Not Supported
Network Monitoring
Not Supported
Performance Monitoring
Not Supported
SLA Monitoring
Not Supported
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Integrations
3forge
Supported
Amazon Web Services (AWS)
Supported
Arcion
Supported
Cloudera Data Platform
Supported
Coginiti
Supported
DBHawk
Supported
Digna
Supported
GitHub
Not Supported
IBM Cloud
Supported
IBM Cognos Analytics
Supported
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Integrations
3forge
Not Supported
Amazon Web Services (AWS)
Not Supported
Arcion
Not Supported
Cloudera Data Platform
Not Supported
Coginiti
Not Supported
DBHawk
Not Supported
Digna
Not Supported
GitHub
Supported
IBM Cloud
Not Supported
IBM Cognos Analytics
Not Supported
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