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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Brave River's ETL software, known as Data Bridge, empowers users to extract information from various sources, subsequently reformatting and processing it prior to its transfer to a designated destination file. This multi-step approach of Data Bridge significantly reduces the costs and mistakes often linked with manual data entry. Unlike standard ETL tools that merely gather, format, and relay data, Data Bridge enhances this process by enabling users to handle and retain data, executing multiple transactions prior to loading. Users can implement an endless array of transformation stages, ensuring that the data remains perfectly formatted throughout the entire ETL workflow. This comprehensive capability not only streamlines data management but also improves overall efficiency in handling large datasets.

Description

The Datagaps DataOps Suite serves as a robust platform aimed at automating and refining data validation procedures throughout the complete data lifecycle. It provides comprehensive testing solutions for various functions such as ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Among its standout features are automated data validation and cleansing, workflow automation, real-time monitoring with alerts, and sophisticated BI analytics tools. This suite is compatible with a diverse array of data sources, including relational databases, NoSQL databases, cloud environments, and file-based systems, which facilitates smooth integration and scalability. By utilizing AI-enhanced data quality assessments and adjustable test cases, the Datagaps DataOps Suite improves data accuracy, consistency, and reliability, positioning itself as a vital resource for organizations seeking to refine their data operations and maximize returns on their data investments. Furthermore, its user-friendly interface and extensive support documentation make it accessible for teams of various technical backgrounds, thereby fostering a more collaborative environment for data management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

AWS Marketplace No 
DataOps DataFlow No 
Datagaps ETL Validator No 

Integrations

AWS Marketplace Yes 
DataOps DataFlow Yes 
Datagaps ETL Validator Yes 

Pricing Details

Contact Brave River Solutions for pricing details.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Brave River Solutions

Founded

1999

Country

United States

Website

www.braveriver.com/blog/data-bridge-custom-etl-software/

Vendor Details

Company Name

Datagaps

Founded

2010

Country

United States

Website

www.datagaps.com

Product Features

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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