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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 Advanced ETL Processor?

Advanced ETL Processor is a flexible data processing solution that helps organizations connect, transform, and automate information flows between different systems. The software works with many data sources, including spreadsheets, text files, structured formats, APIs, and enterprise databases such as MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. Its visual configuration interface allows users to design workflows that clean, validate, reshape, and transfer data without complex programming. Advanced ETL Processor is commonly used for system integration, data migration, reporting pipelines, and analytics preparation. Automation and scheduling features ensure that data processes run reliably, reducing manual effort and improving data consistency across business applications. The platform is suitable for both small projects and large-scale enterprise data operations, providing a practical way to manage data movement and transformation in modern IT environments.

Media

Media

Integrations Supported

Brightpearl
ChatGPT
Firebird
Gemini
Google Sheets
Greenplum
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
Oracle Database
PostgreSQL
Qlik Cloud Analytics
SQL Server
SQLite
Salesforce
Sesame Software
Tableau

Integrations Supported

Brightpearl
ChatGPT
Firebird
Gemini
Google Sheets
Greenplum
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
Oracle Database
PostgreSQL
Qlik Cloud Analytics
SQL Server
SQLite
Salesforce
Sesame Software
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

$690 per user per year
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

DB Software Laboratory

Date Founded

2008

Company Location

United Kingdom

Company Website

www.etl-tools.com

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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