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What is DynaCenter?

Race Migration streamlines data transfer by automating the migration of server workloads across diverse physical, virtual, and cloud environments. By utilizing Race Migration's DynaCenter cloud migration tool, organizations can effortlessly shift their existing physical or virtual servers to almost any other platform. This cutting-edge solution is distinguished by its speed and cost-effectiveness compared to conventional migration methods, while also preventing any decline in performance or issues with vendor reliance. As a valued partner of Amazon Web Services (AWS), DynaCenter guarantees easy installation and setup through the AWS marketplace, specifically designed for Virtual Private Cloud (VPC) and GovCloud users. In addition to removing the challenges and hazards linked to manual migrations, DynaCenter offers a fully automated, unattended application migration experience to the cloud. Its unique custom transformation feature enables users to automate necessary modifications for the target environment or software installations, greatly accelerating the process of cloud setup. Moreover, this tool not only enhances efficiency but also significantly improves the overall user experience during migration, making it an essential asset for businesses looking to transition to the cloud seamlessly. Through its innovative approach, Race Migration continues to redefine the standards of data migration in the digital age.

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.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Microsoft Azure
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Racemi

Date Founded

2001

Company Location

United States

Company Website

www.racemi.com/dynacenter-technology/

Company Facts

Organization Name

Datametica

Date Founded

2013

Company Location

India

Company Website

www.datametica.com

Categories and Features

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

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