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Description
Data Migration Manager (DMM) for OutSystems automates data & BPT migration, export, import, data deletion or scramble/anonymization between all OutSystems environments (Cloud, Onprem, PaaS, Hybrid, mySQL, Oracle, SQL Server, Azure SQL, Java or .NET) and versions (8, 9, 10 or 11).
Only solution with a FREE download from OS FORGE
Did you...
You need to upgrade servers and migrate apps, but now you must migrate the data & light BPT or BPT?
To populate lookup data, you will need to migrate data from the Qual to Prod Environment.
You need to move from Prod to Quali to replicate problems or get a good QA environment to test.
Do you need to back up data to be able later to restore a demo environment?
Do you need to import data from other systems into OutSystems?
Do you need to validate performance?
What is Infosistema DMM?
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dstrh2TLliNc
Reduce costs, reduce risks, and increase time-to market
DMM is the fastest way to solve a problem!
Description
Data cleansing, migration, integration, and reconciliation can occur seamlessly between cloud environments and on-premise systems.
Operating on OCI, it provides secure connectivity to Oracle Enterprise Applications whether hosted in the cloud or on-premises. This unified platform facilitates data and setup migrations, integrations, reconciliations, big data ingestion, and archival processes. It boasts over 9,000 pre-built API templates and web services for enhanced functionality. The data quality engine incorporates pre-configured business rules to efficiently profile, clean, enrich, and correct data, ensuring high standards are maintained. With its configurable, agile design, it supports both low-code and no-code environments, allowing for immediate utilization in a fully cloud-enabled context.
This migration platform is specifically designed for transferring data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and numerous other enterprise applications, accommodating a range of legacy systems as well. Its robust and scalable framework is complemented by a user-friendly interface, while more than 3,000 Smart Data Adapters are available, providing comprehensive coverage for various Oracle Applications and enhancing the overall migration experience.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Aurora
Yes
Azure SQL Database
Yes
CSV Editor Pro
Yes
DocDigitizer
Yes
Microsoft Excel
Yes
MySQL
Yes
Oracle Database
Yes
OutSystems
Yes
SQL Server
Yes
UNUapi
Yes
Integrations
Amazon Aurora
No
Azure SQL Database
No
CSV Editor Pro
No
DocDigitizer
No
Microsoft Excel
No
MySQL
No
Oracle Database
No
OutSystems
No
SQL Server
No
UNUapi
No
Pricing Details
$108.00/year
The price is based in the number of employees in the company.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Infosistema
Founded
1996
Country
Portugal
Website
www.infosistema.com
Vendor Details
Company Name
ChainSys
Founded
1998
Country
United States
Website
www.chainsys.com
Product Features
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
Yes
Master Data Management
Yes
Match & Merge
Yes
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
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
