Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Safeguard your data comprehensively with a robust, enterprise-level security solution that spans multicloud, hybrid, and on-premises environments, accommodating all types of data. Enhance security measures across diverse platforms while seamlessly discovering and categorizing structured, semi-structured, and unstructured data. Assess and prioritize data risks by considering both incident context and the potential for additional capabilities. Streamline data management through a unified service or dashboard that centralizes oversight. Guard against unauthorized data exposure and prevent breaches effectively. Make data-centric security, compliance, and governance processes simpler and more efficient. Create a consolidated perspective to glean insights on vulnerable data and users, while actively managing a Zero Trust framework and enforcing relevant policies. Leverage automation and workflows to save both time and resources, and ensure support for a wide range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Address not only your current requirements but also future integrations as you evolve and expand cloud use cases, thereby enhancing your overall data security strategy. By implementing these measures, you can significantly bolster your organization’s resilience against data-related threats.
Description
OpenText Structured Data Manager (Voltage) provides enterprises with a unified solution for discovering, governing, and securing structured data as it moves through various stages of its lifecycle. It streamlines compliance by applying automated policies for classification, retention, migration, and deletion across hybrid IT environments. The platform relocates inactive application data into governed, cost-efficient archives, allowing organizations to retire outdated systems without losing business-critical information. Its test data management capabilities ensure that development and QA teams can safely work with masked, privacy-compliant data. By reducing the footprint of legacy data, companies can improve performance, cut storage costs, and enhance audit readiness. The solution also supports cloud migrations with policies that ensure sensitive information remains governed throughout transitions. Organizations benefit from its ability to create secure, compliant testing environments while automating workflows that reduce operational overhead. Ultimately, it provides a structured and scalable approach to minimizing risk while enabling modernization initiatives.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Hive
No
Axonius
Yes
Mage Static Data Masking
Yes
Microsoft Access
No
Microsoft Excel
No
Integrations
Apache Hive
Yes
Axonius
No
Mage Static Data Masking
No
Microsoft Access
Yes
Microsoft Excel
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
No
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
Imperva
Founded
2002
Country
United States
Website
www.imperva.com/products/data-security-fabric/
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products/structured-data-manager
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 Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No
Product Features
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