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What is Veritas Alta?

Veritas Altaâ„¢ merges a diverse array of essential data services into a single, robust platform. Tailored for modern workloads, this sophisticated suite is crafted to deliver exceptional security and performance at scale across multiple environments, including hybrid, multi-cloud, public, private, edge, and on-premises settings. For those managing data in the cloud, adopting Veritas Alta is crucial. It offers unmatched resilience through automated, intelligent recovery solutions while providing comprehensive visibility into your data landscape. By maintaining optimal performance and ensuring availability, it supports seamless cross-cloud mobility for businesses that operate around the clock. You can capture and visualize all pertinent data, archive it wherever suitable, and reveal what is truly significant. Our versatile, cloud-native architecture harnesses artificial intelligence, automation, and flexibility, delivering the most cost-effective, resilient, and self-protecting cloud data safeguards available. Additionally, for superior cloud governance, Veritas Alta not only enhances visibility across your operational landscape but also reduces the attack surface, bolstering overall security. This comprehensive strategy empowers businesses to navigate the intricacies of contemporary data management with confidence and assurance. Embracing such a sophisticated solution positions organizations to thrive in an ever-evolving digital landscape.

What is DataParser?

Organizations that are governed by regulations need to ensure they document online meetings and collaborative materials for compliance, legal obligations, and knowledge retention. DataParser is recognized as the leading solution for extracting data from various platforms, including Microsoft Teams, Slack, Cisco, and Zoom. It integrates effortlessly with over 12 archival systems, such as Microsoft 365, Google, and Veritas, preserving the original platform’s appearance while keeping crucial metadata and the chain of custody intact. Serving as an independent middleware solution, DataParser proficiently captures chats, documents, and databases into any designated archive. The resulting files are structured in EML format, with chat messages organized into threaded conversations for ease of understanding. Furthermore, it includes comprehensive integration with Active Directory, facilitating efficient collection and allowing for customizable output filters. Users can keep the source data in its initial format, and the output options offer direct SMTP delivery to an archive, transmission to a selected mailbox, or designation of a file location. In addition, DataParser works with all major archiving technologies, including Microsoft 365 via third-party data endpoints, making it an adaptable option for the data management requirements of organizations. This capability empowers organizations to modify their data collection approaches to successfully navigate changing compliance standards, ensuring they remain ahead of regulatory demands.

Media

Media

Integrations Supported

Integrations Supported

Active Directory
Arctera Enterprise Vault
BlackBerry Access
Bloomberg Tax & Accounting Fixed Assets
Cisco AnyConnect
Cisco Jabber
Cisco Webex
Fuze
Google Cloud Platform
LSEG Due Diligence Centre
LivePerson Automotive
Microsoft 365
Microsoft SharePoint
Quip
Skype
Slack
Symphony
Zoom
Zoom Phone

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Veritas

Company Location

United States

Company Website

www.veritas.com/alta

Company Facts

Organization Name

17a-4

Date Founded

2001

Company Location

United States

Company Website

www.17a-4.com

Categories and Features

Categories and Features

Archiving

eDiscovery

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