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What is dbForge DevOps Automation for SQL Server?

dbForge DevOps Automation for SQL Server is a comprehensive tool that combines various dbForge SQL Server utilities to improve database administration in Continuous Integration (CI) and Continuous Delivery (CD) environments. By integrating seamlessly with SQL Server Management Studio (SSMS), it allows users to set up and oversee CI/CD workflows right from the SSMS interface they are accustomed to. Noteworthy Features: - Compatibility with leading CI/CD platforms such as Jenkins, TeamCity, Azure DevOps, and Bamboo via specialized plugins - Automation of NuGet package creation - Enhanced code quality along with expedited code development - Change management functionalities within SSMS (including committing, rolling back changes, and conflict resolution) - Comparison and deployment of schemas across all supported environments - Capability to write unit tests using straightforward T-SQL - Extensive documentation detailing all adjustments made to the database In summary, dbForge DevOps Automation provides users with the capability to handle DevOps processes for database development and management directly within the SSMS environment, streamlining operations and reducing the necessity for external tools. This not only improves efficiency but also contributes to delivering superior quality outcomes while achieving considerable cost reductions. Additionally, the user-friendly nature of the tool enhances overall productivity in database management tasks.

What is dbForge Data Pump?

dbForge Data Pump for SQL Server is a specialized add-in for SQL Server Management Studio (SSMS) that aims to streamline the process of data migration across various formats, allowing for both import and export functionalities. This tool not only simplifies the configuration of tasks but also aids in organizing repetitive data migration activities effectively. Notable Features: - Import data from ten widely used formats and export to fourteen distinct formats. - Use intuitive wizards to make the setup of import and export tasks easy and accessible. - Directly bring in data from other database systems into SQL Server. - Export all records from tables or select specific entries to one or multiple files. - Manage diverse data import strategies, including adding data, updating existing records, and refreshing tables. - Customize error-handling approaches to meet particular needs. - Store configurations for recurring tasks to enhance efficiency. - Execute data import and export functions automatically through command-line operations. With dbForge Data Pump for SQL Server, users can effectively manage and execute various data migration tasks with ease. The intuitive wizards not only facilitate quick setup but also allow for the preservation of settings for future tasks, contributing to precise handling of substantial data sets while reducing the likelihood of errors typically associated with manual data entry processes. Furthermore, this tool enhances productivity by automating repetitive tasks, making it an invaluable asset for database management professionals.

Media

Media

Integrations Supported

SQL Server

Integrations Supported

SQL Server
SQL
SQL Server Management Studio (SSMS)

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$189.95
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

United States of America

Company Website

www.devart.com

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

United States of America

Company Website

www.devart.com

Categories and Features

Database

Not specified

DevOps

Not specified

Categories and Features

Database

Not specified

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