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What is Oracle Cloud Infrastructure Data Integration?

Easily extract, transform, and load (ETL) data for analytics and data science initiatives. Build smooth, code-free data streams aimed at data lakes and data marts. This feature is part of Oracle’s comprehensive suite of integration tools. The intuitive interface facilitates simple configuration of integration settings and automates the mapping of data across various sources and destinations. Users can take advantage of pre-existing operators, such as joins, aggregates, or expressions, to adeptly manipulate their datasets. Centralized management of workflows allows the use of parameters to modify specific configuration aspects during runtime efficiently. Users have the ability to prepare their data and see transformation outcomes in real-time, which aids in validating processes. Boost your efficiency and alter data flows instantly without having to wait for execution to finish. Furthermore, this solution effectively prevents disruptions in integration flows and reduces maintenance issues as data schemas evolve over time, guaranteeing a seamless data management experience. This functionality not only streamlines the integration process but also empowers users to concentrate on deriving insights from their data without the burden of technical obstacles, ultimately enhancing decision-making.

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.

Media

Media

Integrations Supported

Oracle Cloud Infrastructure

Integrations Supported

Oracle Cloud Infrastructure

API Availability

Has API

API Availability

Has API

Pricing Information

$0.04 per GB per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/

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/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

ETL

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

ETL

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

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