Audience

Data engineers searching for a solution to automate and optimize their data integration processes

About ibi Data Migrator

ibi Data Migrator is a comprehensive ETL (Extract, Transform, Load) tool designed to streamline data integration across diverse platforms, from on-premises systems to cloud environments. It facilitates the automation of data warehouse and data mart creation, enabling access to source data in various formats and operating systems. The platform integrates multiple data sources into single or multiple targets, applying robust data cleansing rules and logic to ensure data quality. With specialized high-volume data warehouse loaders, users can schedule data updates at user-defined intervals, triggered by events or conditional dependencies. The system supports loading star schemas with slowly changing dimensions and offers extensive logging and transaction statistics for enhanced insight into data operations. Its graphical user interface, the data management console, allows for the design, testing, and execution of data and process flows.

Integrations

API:
Yes, ibi Data Migrator offers API access

Ratings/Reviews

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Company Information

Cloud Software Group
Founded: 2022
United States
www.ibi.com/products/ibi-data-migrator

Videos and Screen Captures

ibi Data Migrator Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

ibi Data Migrator Frequently Asked Questions

Q: What kinds of users and organization types does ibi Data Migrator work with?
Q: What languages does ibi Data Migrator support in their product?
Q: What kind of support options does ibi Data Migrator offer?
Q: What other applications or services does ibi Data Migrator integrate with?
Q: Does ibi Data Migrator have an API?
Q: What type of training does ibi Data Migrator provide?

ibi Data Migrator Product Features

ETL

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