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What is Dgraph?

Dgraph is a distributed graph database that is open-source, characterized by its low latency and high throughput capabilities. This database is built to effortlessly scale, accommodating both small startups and larger enterprises that manage vast datasets. It efficiently processes terabytes of structured data on standard hardware, ensuring quick responses to user queries. Dgraph is well-suited for a variety of applications, including diverse social networks, real-time recommendation systems, semantic search functionalities, pattern recognition, fraud detection, and delivering relationship data for web applications. Additionally, its versatility makes it an attractive option for businesses seeking to leverage complex data relationships effectively.

What is Azure SQL Edge?

Azure SQL Edge is a streamlined SQL database engine specifically designed for edge computing and comes equipped with integrated AI features. This robust IoT database combines capabilities like data streaming and time series processing with sophisticated machine learning and graph functionalities. By adapting the well-known Microsoft SQL engine for edge devices, it guarantees dependable performance and security across your entire data ecosystem, which stretches from cloud platforms to edge environments. Developers have the flexibility to create applications once and deploy them effortlessly across multiple settings, whether on edge devices, in on-premises data centers, or within the Azure framework. With its capabilities for in-database machine learning, graph analysis, data streaming, and time series data handling, it provides low-latency analytics that enable real-time insights. Designed to facilitate versatile data processing, it effectively tackles the issues of latency and bandwidth in various operational modes, including online, offline, and hybrid scenarios. Additionally, deployment and updates can be easily overseen via the Azure portal or an organization's platform, ensuring uniform security and streamlined management processes. The inclusion of built-in machine learning capabilities not only allows for immediate anomaly detection but also enables the execution of business logic directly at the edge, thereby boosting operational efficiency. This comprehensive approach ensures that organizations can effectively leverage their data across all environments, optimizing their edge computing strategies.

Media

Media

Integrations Supported

Integrations Supported

Azure Marketplace
Azure SQL Database
Bloomreach
EHSwise
IQ by UTOFA
Kubernetes
Microsoft Azure
ONNX
SBS Quality Management Software
SQL Server
Simplifier
Undivide

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$60 per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Hypermode

Date Founded

2016

Company Location

United States

Company Website

dgraph.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Semantic Search

Not specified

Categories and Features

SQL Server

Not specified

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