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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Tidal Accelerator employs a collaborative and application-focused methodology that enables you to identify, evaluate, strategize, and oversee your migration process effectively. Clearly define your challenges and begin your cloud migration journey with a comprehensive understanding of your existing assets. The tool offers automated evaluations of usage patterns, flaws, and potential security threats, thereby eliminating the risks and uncertainties often associated with cloud transitions. With Accelerator, your migration process is fortified and informed by data, ensuring a seamless experience. It provides essential resources such as pre-migration checklists, insights on migration complexity, dependency mapping, tailored cloud architecture, and coordinated communication schedules. Furthermore, our cloud readiness evaluation equips organizations with a clear vision and actionable steps necessary for a successful cloud implementation. This comprehensive approach encompasses assessing organizational preparedness, discovering applications, and conducting thorough application evaluations as integral components of the transition to the cloud. Ultimately, Tidal Accelerator empowers organizations to navigate their cloud journey with confidence and clarity.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
AWS Transform No 
Hadoop Yes 
IBM Netezza Performance Server Yes 
Snowflake Yes 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
AWS Transform Yes 
Hadoop No 
IBM Netezza Performance Server No 
Snowflake No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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) No 
In Person No 

Vendor Details

Company Name

Datametica

Founded

2013

Country

India

Website

www.datametica.com

Vendor Details

Company Name

Tidal.cloud

Founded

2016

Country

Canada

Website

tidalcloud.com/accelerator/

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

IT Asset Management

Asset Tracking No 
Audit Management No 
Compliance Management No 
Configuration Management No 
Contract/License Management No 
Cost Tracking No 
Depreciation Management No 
IT Service Management No 
Inventory Management No 
Maintenance Management No 
Procurement Management No 
Requisition Management No 
Supplier Management No 

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