Azure SQL EdgeMicrosoft
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Related Products
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About
Small-footprint, edge-optimized SQL database engine with built-in AI. Azure SQL Edge, a robust Internet of Things (IoT) database for edge computing, combines capabilities such as data streaming and time series with built-in machine learning and graph features. Extend the industry-leading Microsoft SQL engine to edge devices for consistent performance and security across your entire data estate, from cloud to edge. Develop your applications once and deploy them anywhere across the edge, your on-premises data center, or Azure. Built-in data streaming and time series, with in-database machine learning and graph features for low-latency analytics. Data processing at the edge for online, offline, or hybrid environments to overcome latency and bandwidth constraints. Deploy and update from the Azure portal or your enterprise portal for consistent security and turnkey management. Detect anomalies and apply business logic at the edge using the built-in machine learning capabilities.
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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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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
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
Enterprises wanting a tool to develop applications and manage the performance and security across their entire data estate
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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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Support
Phone Support
Supported
24/7 Live Support
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
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$60 per year
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
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 InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/azure-sql/edge/
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/netezza
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Microsoft Azure
Supported
3forge
Not Supported
Azure Marketplace
Supported
Azure SQL Database
Supported
Captain Compliance
Not Supported
Coginiti
Not Supported
IBM Cloud
Not Supported
IBM Cognos Analytics
Not Supported
IBM watsonx.data
Not Supported
IQ by UTOFA
Supported
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Integrations
Microsoft Azure
Supported
3forge
Supported
Azure Marketplace
Not Supported
Azure SQL Database
Not Supported
Captain Compliance
Supported
Coginiti
Supported
IBM Cloud
Supported
IBM Cognos Analytics
Supported
IBM watsonx.data
Supported
IQ by UTOFA
Not Supported
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