Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
All organizations subject to regulations must ensure they capture online meetings and collaborative content for purposes of compliance, legal requirements, and knowledge management. The DataParser stands out as the premier tool for capturing data from platforms such as Microsoft Teams, Slack, Cisco, and Zoom. It seamlessly integrates with more than 12 different archival platforms, including Microsoft 365, Google, and Veritas, ensuring that the original platform's look and feel is preserved while maintaining essential metadata and chain of custody. As an independent middleware solution, DataParser efficiently captures chats, documents, and databases into any archive. The output files are formatted in EML, with chats organized into threaded conversations for clarity. Additionally, it features full integration with Active Directory for streamlined collection and customizable output filters. Users can maintain source data in its original format, while output options include direct SMTP delivery to an archive, sending to a designated mailbox, or specifying a file location. Furthermore, DataParser is compatible with all major archiving technologies, including Microsoft 365 through third-party data endpoints, making it a versatile choice for organizations' data management needs. This flexibility allows organizations to adapt their data collection strategies to meet evolving compliance requirements effectively.
Description
Logilab SDMS is an established and reliable Scientific Data Management System that can capture data from any type, make, or manufacturer of analytical instrument, making it a versatile tool for scientific research and experimentation.
This system allows for the capture and archiving of both instrument data and metadata to a secure and dedicated server, which serves as a single point of truth for all scientific data.
Logilab SDMS has been primarily designed to capture, catalog, and archive instrument raw data and files, along with their associated metadata. The tagging system enables data to be indexed into catalogues and archived for long-term purposes, ensuring that scientific data is readily available whenever it is needed.
Furthermore, with Logilab SDMS, laboratories can confidently face audits knowing that their scientific data is organized, archived, and readily available for review.
API Access
Has API
No
API Access
Has API
No
Integrations
Active Directory
Yes
Arctera Enterprise Vault
Yes
BlackBerry Access
Yes
Bloomberg Tax & Accounting Fixed Assets
Yes
Cisco AnyConnect
Yes
Cisco Webex
Yes
FactSet
Yes
Fuze
Yes
Google Cloud Platform
Yes
LSEG Due Diligence Centre
Yes
Integrations
Active Directory
No
Arctera Enterprise Vault
No
BlackBerry Access
No
Bloomberg Tax & Accounting Fixed Assets
No
Cisco AnyConnect
No
Cisco Webex
No
FactSet
No
Fuze
No
Google Cloud Platform
No
LSEG Due Diligence Centre
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
17a-4
Founded
2001
Country
United States
Website
www.17a-4.com
Vendor Details
Company Name
Agaram Technologies
Founded
1998
Country
Chennai, India
Website
www.agaramtech.com
Product Features
Archiving
Access Control
No
Data Deduplication
No
Document Management
No
Email Archiving
No
Multimedia Archiving
No
Retention Management
No
Storage Management
No
Version Control
No
Web Archiving
No
eDiscovery
Yes
Product Features
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No