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What is Tidal Accelerator?
Tidal Accelerator utilizes a cooperative and application-centric approach that helps organizations effectively pinpoint, assess, strategize, and manage their migration journey. By clearly articulating your challenges, you can embark on your cloud migration adventure with a thorough understanding of your current assets. This tool automates the analysis of usage trends, vulnerabilities, and potential security risks, reducing the uncertainties typically linked with cloud migrations. With Accelerator, your migration is backed by data, ensuring an efficient transition. It features vital resources such as pre-migration checklists, insights into migration complexity, dependency mapping, customized cloud architectures, and synchronized communication plans. Additionally, our evaluation of cloud readiness provides organizations with a clear roadmap and actionable strategies essential for successful cloud adoption. This all-encompassing strategy includes assessing organizational readiness, discovering applications, and performing detailed evaluations of applications as fundamental aspects of the cloud transition process. Ultimately, Tidal Accelerator not only equips organizations with the tools they need but also instills confidence and clarity throughout their cloud journey, making it a transformative experience.
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 Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Hadoop
IBM Netezza Performance Server
Snowflake
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Hadoop
IBM Netezza Performance Server
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
Tidal
Date Founded
2016
Company Location
Canada
Company Website
tidalcloud.com/accelerator/
Company Facts
Organization Name
Datametica
Date Founded
2013
Company Location
India
Company Website
www.datametica.com
Categories and Features
IT Asset Management
Asset Tracking
Audit Management
Compliance Management
Configuration Management
Contract/License Management
Cost Tracking
Depreciation Management
IT Service Management
Inventory Management
Maintenance Management
Procurement Management
Requisition Management
Supplier Management
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