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support

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Description

Introducing a compact, edge-optimized SQL database engine that integrates artificial intelligence: Azure SQL Edge. This powerful Internet of Things (IoT) database is specifically designed for edge computing, offering features like data streaming and time series analysis alongside in-database machine learning and graph capabilities. By extending the highly regarded Microsoft SQL engine to edge devices, it ensures uniform performance and security across your entire data infrastructure, whether in the cloud or at the edge. You can create your applications once and deploy them seamlessly across various environments, including edge locations, on-premises data centers, or Azure. With integrated data streaming and time series functionalities, along with advanced analytics powered by machine learning and graph features, users benefit from low-latency performance. It enables efficient data processing at the edge, accommodating online, offline, or hybrid scenarios to address challenges related to latency and bandwidth. Updates and deployments can be managed easily via the Azure portal or your organization’s portal, ensuring consistent security and streamlined operations. Furthermore, leverage the built-in machine learning capabilities to detect anomalies and implement business logic directly at the edge, enhancing real-time decision-making and operational efficiency. This comprehensive solution empowers organizations to harness the full potential of their data, regardless of its location.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure Yes 
Advanced Query Tool (AQT) No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Azure SQL Database Yes 
Cloudera Data Platform No 
Coginiti No 
Datametica No 
EHSwise Yes 
IBM Cloud No 
IBM Cloud Pak for Data No 
IBM watsonx.data No 
Kubernetes Yes 
Lyftrondata No 
Nucleon Database Master No 
RazorSQL No 
SOLIXCloud No 
SOLIXCloud CDP No 
SQL Server Yes 
Semarchy xDI No 

Integrations

Microsoft Azure Yes 
Advanced Query Tool (AQT) Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Azure SQL Database No 
Cloudera Data Platform Yes 
Coginiti Yes 
Datametica Yes 
EHSwise No 
IBM Cloud Yes 
IBM Cloud Pak for Data Yes 
IBM watsonx.data Yes 
Kubernetes No 
Lyftrondata Yes 
Nucleon Database Master Yes 
RazorSQL Yes 
SOLIXCloud Yes 
SOLIXCloud CDP Yes 
SQL Server No 
Semarchy xDI Yes 

Pricing Details

$60 per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/azure-sql/edge/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/netezza

Product Features

SQL Server

CPU Monitoring No 
Credential Management No 
Database Servers No 
Deployment Testing No 
Docker Compatible Containers No 
Event Logs No 
History Tracking No 
Patch Management No 
Scheduling No 
Supports Database Clones No 
User Activity Monitoring No 
Virtual Machine Monitoring No 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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