Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Advanced ETL Processor is a robust data integration platform created for IT professionals who need to move, transform, and manage data across multiple systems in an automated way.
It works with a broad range of file formats and data sources, including Excel, CSV, XML, JSON, QVD/QVX, REST APIs, and leading database systems such as MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. Using its visual workflow designer, users can configure data pipelines that perform extraction, transformation, validation, and loading with flexible mapping, filtering, and processing logic.
The software is widely used for database synchronization, application integration, reporting pipelines, and analytics preparation. Built-in scheduling and automation features help organizations maintain consistent data flows, reduce manual effort, and improve overall data reliability.
Advanced ETL Processor supports both straightforward data transfers and complex enterprise integration scenarios, without requiring extensive custom coding.
Description
Effortlessly extract, transform, and load (ETL) data for analytics and data science applications. Create seamless, code-free data flows directed towards data lakes and data marts. This functionality is included within Oracle’s extensive suite of integration tools. The user-friendly interface allows for easy configuration of integration parameters and automates the mapping of data between various sources and targets. You can utilize pre-built operators like joins, aggregates, or expressions to effectively manipulate your data. Central management of your processes enables the use of parameters to adjust specific configuration settings during runtime. Users can actively prepare their datasets and observe transformation results in real-time for process validation. Enhance your productivity and adjust data flows instantly, without needing to wait for execution completion. Additionally, this solution helps prevent broken integration flows and minimizes maintenance challenges as data schemas change over time, ensuring a smooth data management experience. This capability empowers users to focus on gaining insights from their data rather than grappling with technical difficulties.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Brightpearl
Yes
ChatGPT
Yes
Firebird
Yes
Gemini
Yes
Google Sheets
Yes
Greenplum
Yes
IBM Informix
Yes
MariaDB
Yes
Microsoft Access
Yes
Microsoft Excel
Yes
Integrations
Brightpearl
No
ChatGPT
No
Firebird
No
Gemini
No
Google Sheets
No
Greenplum
No
IBM Informix
No
MariaDB
No
Microsoft Access
No
Microsoft Excel
No
Pricing Details
$690 per user per year
Single license = one user within the same organization.
Site license = unlimited number of users within one or group of buildings within one city
Site license = unlimited number of users within one or group of buildings within one city
Free Trial
Yes
Free Version
No
Pricing Details
$0.04 per GB per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
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
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DB Software Laboratory
Founded
2008
Country
United Kingdom
Website
www.etl-tools.com
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/
Product Features
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
Yes
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
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
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No