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What is Data Bridge?

Brave River's ETL solution, referred to as Data Bridge, allows users to extract data from diverse sources and then reformat and process it before transferring it to a specified destination file. This multi-step methodology utilized by Data Bridge significantly mitigates the financial burdens and errors commonly associated with manual data input. In contrast to typical ETL tools that simply collect, format, and transmit data, Data Bridge elevates the process by allowing users to manipulate and preserve data, performing numerous transactions prior to the final loading phase. With the ability to apply a limitless variety of transformation stages, users can ensure that their data remains impeccably formatted throughout the entire ETL process. This robust functionality not only simplifies data management but also enhances overall efficiency when dealing with extensive datasets, making it an invaluable asset for organizations looking to optimize their data workflows. Furthermore, the versatility of Data Bridge empowers users to adapt their data handling approach to meet specific business needs effectively.

What is AWS Glue?

AWS Glue is a fully managed, serverless solution tailored for data integration, facilitating the easy discovery, preparation, and merging of data for a variety of applications, including analytics, machine learning, and software development. The service incorporates all essential functionalities for effective data integration, allowing users to conduct data analysis and utilize insights in a matter of minutes, significantly reducing the timeline from months to mere moments. The data integration workflow comprises several stages, such as identifying and extracting data from multiple sources, followed by the processes of enhancing, cleaning, normalizing, and merging the data before it is systematically organized in databases, data warehouses, and data lakes. Various users, each with their specific tools, typically oversee these distinct responsibilities, ensuring a comprehensive approach to data management. By operating within a serverless framework, AWS Glue removes the burden of infrastructure management from its users, as it automatically provisions, configures, and scales the necessary resources for executing data integration tasks. This feature allows organizations to concentrate on gleaning insights from their data instead of grappling with operational challenges. In addition to streamlining data workflows, AWS Glue also fosters collaboration and productivity among teams, enabling businesses to respond swiftly to changing data needs. The overall efficiency gained through this service positions companies to thrive in today’s data-driven environment.

Media

Media

Integrations Supported

Integrations Supported

Acryl Data
Alex Solutions
Amazon DataZone
Amazon EC2
Amazon Redshift
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Security Lake
CData Connect
FairCom DB
FairCom EDGE
Feroot
New Relic
Orchestra
Pendula
SDF
Saagie
Select Star
Snowflake CoCo
Wavo

API Availability

API Availability

Pricing Information

Contact Brave River Solutions for pricing details.

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Brave River Solutions

Date Founded

1999

Company Location

United States

Company Website

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

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/glue/

Categories and Features

ETL

Data Analysis
Data Filtering

Categories and Features

Data Catalog

Not specified

Data Discovery

Not specified

Data Integration

Not specified

Data Preparation

Not specified

Data Virtualization

Not specified

ETL

Data Analysis
Data Filtering
Data Quality Control
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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