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Description
At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.
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!
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Aurora
No
Amazon Web Services (AWS)
Yes
Azure SQL Database
No
CSV Editor Pro
No
DocDigitizer
No
Google Cloud Platform
Yes
Hadoop
Yes
IBM Netezza Performance Server
Yes
Microsoft Azure
Yes
Microsoft Excel
No
Integrations
Amazon Aurora
Yes
Amazon Web Services (AWS)
No
Azure SQL Database
Yes
CSV Editor Pro
Yes
DocDigitizer
Yes
Google Cloud Platform
No
Hadoop
No
IBM Netezza Performance Server
No
Microsoft Azure
No
Microsoft Excel
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$108.00/year
The price is based in the number of employees in the company.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Datametica
Founded
2013
Country
India
Website
www.datametica.com
Vendor Details
Company Name
Infosistema
Founded
1996
Country
Portugal
Website
www.infosistema.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
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
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