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Description
It encompasses all the essential software necessary for your everyday activities—such as email, internet browsing, document editing, gaming, and a plethora of additional applications. MidnightBSD, supported by a small yet passionate group of developers, aims to build an accessible operating system that is available for everyone to use at no cost. This system is compatible with x86, AMD64 architectures, and can also be run as a Virtual Machine. While the FreeBSD project has established a robust server operating system, it frequently neglects the usability and performance aspects required for desktop environments. It is crucial to customize scheduling, resource allocation, security measures, and application support to better serve desktop users. Many BSD-based projects are designed primarily for server use or older systems, and while some offer FreeBSD with a user-friendly graphical interface, they still suffer from an underlying server-oriented structure. Our decision to fork FreeBSD was not due to any conflict, but rather because we saw it as an exceptional foundation to build upon. Ultimately, our goal is to bridge the gap between server efficiency and desktop user experience.
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
Integrations
Crowdin
Dash
Knoku
Mermaid Chart
MySQL
PushFeedback
Read the Docs
Integrations
Crowdin
Dash
Knoku
Mermaid Chart
MySQL
PushFeedback
Read the Docs
Pricing Details
Free
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
MidnightBSD
Website
www.midnightbsd.org
Vendor Details
Company Name
Sphinx
Founded
2007
Country
United States
Website
sphinxsearch.com
Product Features
Product Features
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery