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What is XPLG PortX?

In mere minutes, you can leverage AI and machine learning tools to automate the entire process of collecting, parsing, and forwarding log data. Among these solutions, PortX by XPLG emerges as a top choice for handling and directing log data streams, drastically reducing the need for manual scripting and labor-intensive efforts by up to 90%. This cutting-edge tool not only slashes costs but also alleviates the reliance on Regular Expressions, Grok processing, and ongoing maintenance. With its impressive performance, load balancing functions, and robust security features, PortX adeptly simplifies the management of high-volume data streams while decreasing resource usage. Users can seamlessly route and forward log data to a variety of services while skillfully filtering out crucial events and archiving the remainder as necessary. The incorporation of intelligent filters allows for efficient data volume reduction, facilitating tailored data management via a visual log parser and log viewer. Additionally, PortX grants users extensive control over their data sources through a straightforward interface, making it easy to set permissions, filter events, and customize log fields to suit varying requirements. This holistic approach not only enhances the efficiency of log data management but also ensures that it is specifically adjusted to cater to the unique needs of each user. Ultimately, PortX stands out as an indispensable tool for organizations aiming to optimize their log data processes.

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

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

Integrations Supported

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

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

XPLG

Date Founded

2005

Company Location

United States

Company Website

www.xplg.com/port-x-log-parser/

Company Facts

Organization Name

17a-4

Date Founded

2001

Company Location

United States

Company Website

www.17a-4.com

Categories and Features

Log Management

Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs

Categories and Features

Archiving

Access Control
Data Deduplication
Document Management
Email Archiving
Multimedia Archiving
Retention Management
Storage Management
Version Control
Web Archiving
eDiscovery

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