What is Leonovus Data Discovery Tool?
The Leonovus Data Discovery Tool conducts a thorough examination of Server Message Block's network-affiliated file storage, effectively categorizing all data present. This versatile tool can be utilized across various environments and is not tied to any specific vendor. By enabling users to visualize their file servers, it aids in identifying the types of files stored within them. The Data Discovery Tool equips you with crucial insights necessary for developing a file storage strategy that can effectively manage the challenges posed by rapid data growth, including the tiering of seldom accessed, or "cold," data. Furthermore, the Leonovus Smart Filer facilitates the seamless transition of this infrequently used data to more economical cloud or secondary storage solutions. In addition, the Data Discovery Tool constructs a data analytics framework for the file-based data service landscape, offering a comprehensive overview of the volume, age, activity level, and makeup of the data being served. Essentially, it provides a detailed profile of all data stored, which can significantly enhance data management practices. Consequently, this tool not only optimizes storage efficiency but also empowers organizations to make informed decisions regarding their data assets.
Pricing
Free Trial Offered?:
Yes
Integrations
No integrations listed.
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Leonovus Data Discovery Tool
Company Facts
Company Name:
Leonovus
Date Founded:
2008
Company Location:
Canada
Company Website:
www.leonovus.com/products/data-discovery-tool
Product Details
Deployment
Windows
SaaS
Training Options
Documentation Hub
Support
Standard Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Leonovus Data Discovery Tool Categories and Features
Data Discovery Software
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics