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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

AnzoGraph DB boasts an extensive array of analytical features that can significantly improve your analytical framework. Check out this video to discover how AnzoGraph DB operates as a Massively Parallel Processing (MPP) native graph database specifically designed for data harmonization and analytics. This horizontally scalable graph database is optimized for online analytics and tackling data harmonization issues. Addressing challenges related to linked data, AnzoGraph DB stands out as a leading analytical graph database in the market. It offers robust online performance suitable for enterprise-scale graph applications, ensuring efficiency and speed. AnzoGraph DB employs familiar SPARQL*/OWL for semantic graphs, while also accommodating Labeled Property Graphs (LPGs). Its vast array of analytical, machine learning, and data science tools empowers users to uncover new insights at remarkable speed and scale. By prioritizing context and relationships among data, you can enhance your analysis significantly. Additionally, the database enables ultra-fast data loading and execution of analytical queries, making it an invaluable asset for any data-driven organization.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure Yes 
Amazon Web Services (AWS) Yes 
Apache Kafka Yes 
Azure Marketplace No 
Azure SQL Database No 
Bloomreach No 
Docker Yes 
EHSwise No 
Google Cloud Platform Yes 
IQ by UTOFA No 
Jupyter Notebook Yes 
Kubernetes No 
ONNX No 
SBS Quality Management Software No 
SQL Server No 
Simplifier No 
Tableau Yes 
Undivide No 

Integrations

Microsoft Azure Yes 
Amazon Web Services (AWS) No 
Apache Kafka No 
Azure Marketplace Yes 
Azure SQL Database Yes 
Bloomreach Yes 
Docker No 
EHSwise Yes 
Google Cloud Platform No 
IQ by UTOFA Yes 
Jupyter Notebook No 
Kubernetes Yes 
ONNX Yes 
SBS Quality Management Software Yes 
SQL Server Yes 
Simplifier Yes 
Tableau No 
Undivide Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$60 per year
Free Trial Yes 
Free Version 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 

Deployment

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

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
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 Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cambridge Semantics

Founded

2007

Country

United States

Website

www.cambridgesemantics.com/anzograph/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

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 

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