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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

Siberson Veriket Data Discovery is a robust solution for enterprises that enables the identification, localization, inventorying, and risk assessment of sensitive information across both structured and unstructured data environments. It performs thorough scans of various sources, including file servers, endpoints, databases, Microsoft 365, SharePoint, OneDrive, cloud storage, email systems, and additional corporate data repositories to ensure ongoing awareness of the locations of sensitive data. The integrated detection capabilities cover a wide range of data types, such as personal, financial, confidential, and regulated information, while also recognizing specific international and Turkish PII formats like TCKN and IBAN. By utilizing Veriket Data Discovery, organizations can empower their security, compliance, and data governance teams to mitigate the risks associated with dark data, enhance the effectiveness of data loss prevention (DLP) strategies, streamline audit processes, and align with regulations such as KVKK, GDPR, ISO 27001, and PCI DSS. This solution is flexible, offering both on-premises and SaaS deployment options, along with features like centralized management, automated scanning, comprehensive data mapping, risk scoring, and seamless enterprise integrations to enhance overall operational efficiency. Ultimately, Veriket Data Discovery serves as a vital tool for businesses striving to maintain rigorous data governance and compliance standards.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

per-terabyte/yearly
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Datametica

Founded

2013

Country

India

Website

www.datametica.com

Vendor Details

Company Name

Siberson

Founded

2017

Country

Turkey

Website

www.siberson.com

Product 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

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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