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What is EMS DB Extract?

EMS DB Extract for PostgreSQL is a robust and intuitive tool designed for creating backups of PostgreSQL databases in SQL script format. It effectively captures the metadata of all database objects along with actual table data, resulting in a thorough snapshot of the entire database. The utility generates scripts in the correct order, taking into account the dependencies between various components. Users have the flexibility to customize their backups, selecting specific objects and tables to include, as well as adjusting various settings to meet their needs. The software also provides a user-friendly graphical wizard that guides users step-by-step through the extraction process, alongside a command-line interface that allows for swift backups with a single command. Furthermore, it has the ability to extract database objects following their dependency order, and it offers options to compress the final script and split it into smaller, manageable volumes. This combination of features makes EMS DB Extract for PostgreSQL not only efficient but also a highly valuable tool for safeguarding databases effectively. With its ease of use and extensive customization options, it caters to both novice and experienced users alike.

What is Azure Database for PostgreSQL?

Shift your focus towards driving application innovation instead of database management by taking advantage of Azure Database for PostgreSQL, which is both fully managed and intelligent. This service allows you to scale your workloads effortlessly, bolstered by a service-level agreement (SLA) that promises up to 99.99% uptime and offers options for both same-zone and zone-redundant high availability. In addition, you will gain access to AI-powered performance recommendations and strong built-in enterprise security features. With this managed PostgreSQL database as a service, you can concentrate on developing applications while the platform manages maintenance, patching, and updates through automated zone-redundant high availability. Provisioning resources is quick, taking only minutes, and you can independently scale your compute or storage resources as needed. Moreover, you can lower your expenses through comprehensive monitoring and optimization tools designed for your database. Utilize intelligent performance suggestions to ensure maximum efficiency and enjoy seamless migrations thanks to support for the latest PostgreSQL versions. You will also have the freedom to build with your favorite PostgreSQL extensions, including Cron, PostGIS, and PLV8, which will enhance your application's capabilities. This all-encompassing strategy guarantees that you can focus on innovative solutions while relying on a dependable and powerful database infrastructure. The result is a streamlined development process that empowers you to achieve your goals faster and more effectively.

Media

Media

Integrations Supported

PostgreSQL
IBM Db2
SQL Server

Integrations Supported

PostgreSQL
AnalyticsCreator
Azure Kubernetes Service (AKS)
Codified
DBConvert
Django
Java
Microsoft Azure
Microsoft Intelligent Data Platform
Node.js
Python
Ruby
Ruby on Rails
Terraform
Visual Studio Code
WEM
Zapper Edge
icCube

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.017 per hour
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

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

EMS Software

Date Founded

1986

Company Location

United States

Company Website

www.sqlmanager.net/products/postgresql/extract

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/postgresql/

Categories and Features

Database Backup

Not specified

Categories and Features

Database

Not specified

RDBMS

Not specified

Relational Database

Not specified

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