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What is Infosistema DMM?
The Data Migration Manager (DMM) for OutSystems streamlines the processes of data and Business Process Technology (BPT) migration, enabling seamless export, import, data deletion, and anonymization across various OutSystems environments, including Cloud, On-premises, PaaS, Hybrid, and database platforms like mySQL, Oracle, SQL Server, and Azure SQL, as well as supporting versions 8 through 11. This solution is uniquely available for free download from OS FORGE.
Have you encountered the need to upgrade your servers while also migrating your applications? Perhaps you're tasked with transferring data from a Quality to a Production environment to populate lookup data. Or maybe you're moving from Production to Quality to troubleshoot issues or establish a reliable QA environment for testing purposes. Are you looking to back up your data to restore a demo environment later? Do you need to import data from external systems into OutSystems? Additionally, are you seeking to validate performance metrics?
Discover the capabilities of Infosistema DMM through this informative video: https://www.youtube.com/watch?v=strh2TLliNc. By utilizing DMM, you can significantly reduce costs and risks while speeding up your time-to-market. This tool provides an efficient solution to tackle your data migration challenges effectively!
What is Datametica?
At Datametica, our cutting-edge solutions play a pivotal role in minimizing risks and lowering costs, time, frustration, and anxiety associated with migrating data warehouses to the cloud. We streamline the transition of your existing data warehouse, data lake, ETL, and enterprise business intelligence systems to your chosen cloud platform through our suite of automated products. Our methodology encompasses the development of a robust migration strategy that incorporates workload discovery, assessment, planning, and cloud optimization. Utilizing our Eagle tool, we deliver valuable insights from the initial discovery and assessment stages of your current data warehouse to the creation of a customized migration strategy, which outlines the data to be transferred, the ideal sequence for migration, and projected timelines and costs. This detailed analysis of workloads and meticulous planning not only mitigates migration risks but also ensures that business operations experience no disruptions during the process. Moreover, our dedication to facilitating a smooth migration empowers organizations to adopt cloud technologies with both confidence and clarity, ultimately positioning them for future growth and innovation. By prioritizing a tailored approach, we ensure that each client's unique needs are met throughout the entire migration journey.
Integrations Supported
Amazon Aurora
Amazon Web Services (AWS)
Azure SQL Database
CSV Editor Pro
DocDigitizer
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Microsoft Excel
Integrations Supported
Amazon Aurora
Amazon Web Services (AWS)
Azure SQL Database
CSV Editor Pro
DocDigitizer
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Microsoft Excel
API Availability
Has API
API Availability
Has API
Pricing Information
$108.00/year
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Infosistema
Date Founded
1996
Company Location
Portugal
Company Website
www.infosistema.com
Company Facts
Organization Name
Datametica
Date Founded
2013
Company Location
India
Company Website
www.datametica.com
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control