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What is IBM Rational Build Forge?

IBM® Rational® Build Forge® offers a versatile execution framework aimed at creating an efficient software assembly line that automates and accelerates the software delivery lifecycle. This cutting-edge solution not only standardizes and automates repetitive tasks but also assists in pinpointing development bottlenecks, uncovers trends linked to specific projects, and aids in managing compliance obligations. Available in both standard and enterprise versions, these tools integrate effortlessly into your existing setup, accommodating a broad spectrum of development languages, scripts, tools, and platforms. By improving build and release cycles through iterative development and parallel processing, it grants developers access to preconfigured build processes right within their integrated development environments (IDEs). Furthermore, it streamlines compliance management with self-documenting audit trails and enforces role-based security protocols. Utilizing familiar tools, it boosts team productivity through centralized management of builds and releases, ultimately yielding better project results and reducing time-to-market. This comprehensive approach not only enhances operational efficiency but also fosters a culture of continuous improvement within development teams.

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
Gears
GenRocket
GitEye
IBM InfoSphere Data Architect
Snowflake

Integrations Supported

Databricks Data Intelligence Platform
Gears
GenRocket
GitEye
IBM InfoSphere Data Architect
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/us-en/marketplace/rational-build-forge

Company Facts

Organization Name

DataForge

Date Founded

2023

Company Location

United State

Company Website

www.dataforgelabs.com

Categories and Features

Build Automation

Automated Testing
Build Cache
Build Management Tools
Build Metrics
Change Only Compiling
Debugging Tools
Dependency Management
IDE Compatibility
Parallel Testing
Plugin Library
Source Code Management
Version Conflict Resolution

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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