SoftNASBuurst
|
||||||
Related Products
|
||||||
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.
|
About
SoftNAS is a cloud-native, software-defined, full-featured enterprise cloud NAS filer product line for primary data storage, secondary storage and hybrid cloud data integration. It enables existing applications to securely migrate to and connect with the cloud without re-engineering.
With enterprise-class NAS features like: high-availability, deduplication, compression, thin-provisioning, snapshots, replication, cloning, encryption (at rest and in transit), LDAP and Active Directory integration, and support for NFS, CIFS, iSCSI or AFP storage protocols, SoftNAS protects mission-critical and primary, active/hot data, backup/archive data and makes cloud data migration faster and more reliable.
SoftNAS offers the broadest range of storage options in terms of price vs. performance and backend storage selection, on-demand at petabyte scale across the AWS and Azure Marketplaces or on-premises on VMware.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Companies and analysts that require a data warehouse and analytics platform to do data science and machine learning with data volumes
|
Audience
DataOps, Data Engineering, Storage
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
PricingSotNAS is priced by the data performance needed and not the amount of data stored.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/netezza
|
Company InformationBuurst
Founded: 2012
United States
www.buurst.com/products/softnas/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Cloud Management Features
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Cloud Storage Features
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control
Server Virtualization Features
Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor
|
||||||
Integrations
Amazon Web Services (AWS)
Microsoft Azure
3forge
Advanced Query Tool (AQT)
Captain Compliance
Coginiti
Digna
IBM Cloud
IBM Cloud Pak for Data
IBM watsonx.data
|
Integrations
Amazon Web Services (AWS)
Microsoft Azure
3forge
Advanced Query Tool (AQT)
Captain Compliance
Coginiti
Digna
IBM Cloud
IBM Cloud Pak for Data
IBM watsonx.data
|
|||||
|
|
|