Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Due to multiple information sources operating in silos, the enterprise cannot find a single version of truth. Complexity is added by the confusion that results from hundreds of different solutions. While we provide the best possible solutions and services to solve the data and AI problems, you can concentrate on your business. Out-of-the box transformation accelerators for Teradata Netezza, Ab Initio Oracle, Teradata and other legacy data warehouses. View legacy code and evaluate the transformations to ETL, data warehouse, and analytics. Ingestion, CDC and streaming analytics, ETL and data prep, advanced analytics, and many more. Build and deploy scalable data science models and AI models across multiple platforms that leverage multiple data sources. A scalable, secure, fast and well-governed data lake that is agile and flexible can be built. Use best practices and accelerators to accelerate cloud adoption, implementation, and ROI.
API Access
Has API
No
API Access
Has API
No
Integrations
IBM Netezza Performance Server
Yes
Ab Initio
No
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Hadoop
Yes
Microsoft Azure
Yes
Oracle Cloud Infrastructure
No
Snowflake
Yes
Teradata VantageCloud
No
Integrations
IBM Netezza Performance Server
Yes
Ab Initio
Yes
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Hadoop
No
Microsoft Azure
No
Oracle Cloud Infrastructure
Yes
Snowflake
No
Teradata VantageCloud
Yes
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
Yes
Vendor Details
Company Name
Datametica
Founded
2013
Country
India
Website
www.datametica.com
Vendor Details
Company Name
Impetus
Founded
1996
Country
United States
Website
www.impetus.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
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