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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.

What is IBM StoredIQ Suite?

The IBM StoredIQ® Suite effectively tackles a range of issues involving data discovery, records management, compliance, storage efficiency, and data migration. It provides an in-depth evaluation of unstructured data directly at its source, enabling organizations to gain the essential insights needed for informed business decisions. For those in the legal field, IBM StoredIQ for Legal simplifies the electronic discovery (eDiscovery) process through a methodical framework. Moreover, with IBM StoredIQ Policy included in the suite, organizations can automate their data management policies seamlessly. This approach to in-place data management empowers businesses to recognize and handle unstructured data without the necessity of transferring it to distinct repositories or applications. The suite is equipped with advanced search functionalities that significantly improve the analysis of large volumes of unstructured content. As a result, organizations can attain a more lucid and detailed comprehension of their extensive corporate data landscape. By leveraging these tools, companies are significantly better positioned to navigate the intricate challenges of their data environment with greater confidence and efficiency. This comprehensive solution not only enhances operational agility but also supports strategic decision-making processes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Leonovus

Date Founded

2008

Company Location

Canada

Company Website

www.leonovus.com/products/data-discovery-tool

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storediq-suite

Categories and Features

Data Discovery

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

Categories and 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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