Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IBM® Sterling Transformation Extender empowers organizations to seamlessly integrate transactions involving customers, suppliers, and business partners across their entire operations. This tool automates the intricate processes of data transformation and validation, accommodating a wide array of formats and standards. Users can execute data transformations in both on-premises settings and cloud environments. Furthermore, it offers advanced transformation capabilities that include metadata for mapping, compliance verification, and related processing functionalities tailored to specific sectors, such as finance, healthcare, and supply chain management. The system supports both structured and unstructured data, along with custom formats, and is compatible with on-premises, hybrid, private, and public cloud configurations. With a strong focus on user experience, it features RESTful APIs for enhanced functionality. The solution facilitates complex transformations and validation of data across multiple formats, enabling any-to-any data transformation while being containerized for cloud deployment. Additionally, it includes industry-specific packs to further streamline operations and enhance efficiency.
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
IBM WebSphere Hybrid Edition
Yes
Oracle Cloud Infrastructure
No
Integrations
IBM WebSphere Hybrid Edition
No
Oracle Cloud Infrastructure
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.04 per GB per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/transformation-extender
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
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