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What is Copernic Business Server Search?

Implementing a search solution within your organization can greatly boost employee productivity. Notably, Copernic’s Business Server Search provides an efficient method for integrating a sophisticated search feature that is both practical and budget-friendly compared to more complex alternatives. This advantage means that your IT team will not have to deal with protracted installation and configuration procedures. Simply downloading the installation file for Windows and setting up the necessary file sources is all that is needed. You have the flexibility to create custom indexes tailored to specific teams and departments while ensuring that sensitive data and permissions are adequately safeguarded. If you have questions, the support team at Copernic is always ready to help. Utilizing Copernic’s advanced keyword mapping system enables employees to discover a wide array of business-related information that might otherwise be overlooked across shared servers, including text documents, multimedia files, emails, and cloud data. By employing this tool, organizations can streamline their information retrieval processes, thereby cultivating a more efficient and productive workplace culture. Ultimately, this enhanced capability can lead to improved decision-making and more effective collaboration among teams.

What is Amazon Kendra?

Amazon Kendra serves as a sophisticated enterprise search solution that emphasizes both accuracy and ease of use, all powered by cutting-edge machine learning technology. This innovative tool significantly improves natural language search capabilities on your websites and applications, enabling users to efficiently find the information they need amid the vast array of content within your organization. Instead of relying solely on basic keywords, users can pose natural language questions, which allows them to receive precise answers, access frequently asked questions, or retrieve entire documents seamlessly. This functionality alleviates the challenges of sifting through lengthy lists of links, where users often feel uncertain if their desired information is present. Furthermore, Kendra effectively breaks down information silos by facilitating the integration of content from diverse sources, including file systems, SharePoint, intranet sites, and file-sharing services, into one cohesive platform for more efficient searching. As users interact with Kendra, the system's results become increasingly refined, thanks to its machine learning algorithms that learn which answers resonate most with users. This ongoing adaptation not only enhances the precision of search results but also creates a more personalized and effective search experience over time. Ultimately, Kendra empowers organizations to provide a more satisfying and productive search journey for their users.

Media

Media

Integrations Supported

AWS AI Services
Adobe Photoshop
Amazon Transcribe
Amazon Web Services (AWS)
AutoCAD
Microsoft 365
Microsoft Outlook
Microsoft SharePoint
Microsoft Visio

Integrations Supported

AWS AI Services
Adobe Photoshop
Amazon Transcribe
Amazon Web Services (AWS)
AutoCAD
Microsoft 365
Microsoft Outlook
Microsoft SharePoint
Microsoft Visio

API Availability

Has API

API Availability

Has API

Pricing Information

$600 per year
Free Trial Offered?
Free Version

Pricing Information

$2.50 per hour
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

Copernic Technologies

Date Founded

1996

Company Location

Canada

Company Website

copernic.com/en/server/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kendra/

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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