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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 DataForge?

DataForge is unique as the only framework that integrates all three essential aspects of data development. By combining distinct features from each element and applying a thorough methodology, it creates an unmatched foundation for effective data design. Its cloud version, DataForge Cloud (DFC), acts as a powerful management service for data platforms, intricately aligned with the DataForge framework. DFC streamlines this framework into efficient automated workflows for developers, enabling data processing on platforms like Databricks and Snowflake. With a combination of structured coding and an event-driven workflow engine, DFC guarantees full automation in establishing necessary processing steps and overseeing dependencies. This standardization of processing phases promotes consistent infrastructure sizing, which boosts efficiency. Furthermore, DFC enhances performance through the dynamic allocation of resources, selecting the best cluster or warehouse at each stage to ensure optimal cost-effectiveness without compromising quality. This innovative strategy not only simplifies the development workflow but also substantially improves the overall user experience, making data management more accessible and efficient for all users. Overall, DataForge and DFC represent a significant advancement in the realm of data development and management.

Media

Media

Integrations Supported

Databricks Data Intelligence Platform
SQL Server
Snowflake

Integrations Supported

Databricks Data Intelligence Platform
SQL Server
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$429.95
Free Trial Offered?
Free Version

Pricing Information

$2.50 per process
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com

Company Facts

Organization Name

DataForge

Date Founded

2023

Company Location

United State

Company Website

www.dataforgelabs.com

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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