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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Integrating a search solution for your organization can significantly enhance employee efficiency. Interestingly, Copernic’s Business Server Search offers a streamlined way to implement an advanced search capability that is both highly functional and cost-effective compared to other, more intricate search solutions. This means your IT department won’t face the burden of lengthy installation and setup processes. All that is required is to download the installation file for Windows and set up your desired file sources. You can create tailored indexes for specific teams and departments while ensuring that sensitive information and permissions are respected. Should you have any inquiries, the Copernic team is readily available to assist you. With Copernic’s sophisticated keyword mapping system, employees are empowered to uncover a variety of business-related information that may be hidden across shared servers, including text documents, multimedia files, emails, and cloud-based data. By leveraging this tool, organizations can optimize their information retrieval processes and foster a more productive work environment.

Description

Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Photoshop
AutoCAD
Crowdin
Dash
Enrich CRM
Mermaid Chart
Microsoft 365
Microsoft Outlook
Microsoft Visio
MySQL
Read the Docs
Red Hat Cloud Suite

Integrations

Adobe Photoshop
AutoCAD
Crowdin
Dash
Enrich CRM
Mermaid Chart
Microsoft 365
Microsoft Outlook
Microsoft Visio
MySQL
Read the Docs
Red Hat Cloud Suite

Pricing Details

$600 per year
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Copernic Technologies

Founded

1996

Country

Canada

Website

copernic.com/en/server/

Vendor Details

Company Name

Sphinx

Founded

2007

Country

United States

Website

sphinxsearch.com

Product Features

Enterprise Search

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

Product Features

Enterprise Search

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

Alternatives

Alternatives

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