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What is dbForge Studio for Oracle?

dbForge Studio for Oracle serves as a robust integrated development environment (IDE) that significantly enhances the efficiency of PL/SQL coding for Oracle SQL developers, while also offering a wide array of data editing tools designed for both in-database and external data management. This versatile Oracle IDE facilitates data synchronization across multiple Oracle servers and streamlines the process of managing schema changes throughout the development cycle. With a user-friendly interface reminiscent of Microsoft Visual Studio, dbForge Oracle GUI is packed with advanced features that cater to various development and database management needs. Among its key functionalities are a PL/SQL coding assistant, a comprehensive database project feature, and effective management tools for Oracle databases. The Data Generator, which is integral to the IDE, supports all essential Oracle data types and comes equipped with over 200 customizable data generators, enabling data generation through a command-line interface as well. Additional features include a documenter, an object manager, and an Oracle PL/SQL debugger designed for step-by-step execution of stored program units and SQL scripts, ensuring efficient debugging processes. Furthermore, users can take advantage of a query builder, a query profiler, and options for schema import/export, along with various database administration and design functionalities. The IDE also offers tools for data import/export, comprehensive reporting and analysis, and an efficient object-finding mechanism, making it an essential tool for Oracle developers.

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
Oracle Database
Snowflake

Integrations Supported

Databricks Data Intelligence Platform
Oracle Database
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$149.95
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

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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