Software Alternatives, Accelerators & Startups

Sphinx (search engine) VS Sphinx Search

Compare Sphinx (search engine) VS Sphinx Search and see what are their differences

Sphinx (search engine) logo Sphinx (search engine)

Sphinx is a fulltext FLOSS search engine that provides text search functionality to client applications. Sphinx (search engine) - WikiMili, The Free Encyclopedia - WikiMili, The Free Encyclopedia

Sphinx Search logo Sphinx Search

Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.
  • Sphinx (search engine) Landing page
    Landing page //
    2023-08-30
  • Sphinx Search Landing page
    Landing page //
    2021-10-08

Sphinx (search engine) features and specs

  • High Performance
    Sphinx is known for its high speed and efficiency in performing full-text searches, making it suitable for applications with large volumes of data.
  • Scalability
    It can scale well with the increase in data size and query load, making it a good choice for growing businesses.
  • Flexibility
    Sphinx offers flexibility in terms of configuration and customization, allowing users to tailor the search engine to their specific needs.
  • Open Source
    As an open-source search engine, Sphinx allows users to modify and adapt the software according to their project requirements without licensing fees.

Possible disadvantages of Sphinx (search engine)

  • Complex Setup
    The initial setup and configuration of Sphinx can be complex and may require significant time and technical expertise, which could be challenging for beginners.
  • Limited Community Support
    Compared to more popular search engines like Elasticsearch, Sphinx has a smaller community, potentially leading to fewer resources and support options available online.
  • Documentation
    While there is documentation available, it might not be as extensive or up-to-date as other search engines, creating potential hurdles for users trying to implement or troubleshoot issues.
  • Feature Set
    Sphinx might lack some of the advanced features and integrations offered by newer, more comprehensive search engines, which could limit its applicability for certain complex requirements.

Sphinx Search features and specs

  • High Performance
    Sphinx Search is optimized for high performance, allowing it to handle large datasets efficiently and perform searches quickly.
  • Full-Text Search
    It provides robust full-text search capabilities, including support for advanced search operators and ranking algorithms.
  • Scalability
    Designed to scale both vertically and horizontally, making it suitable for projects that need to accommodate growing data volumes.
  • Integration
    Sphinx can easily integrate with various programming languages and existing databases like MySQL, PostgreSQL, and more.
  • Open Source
    Being an open-source software, Sphinx provides flexibility in terms of customization and cost-effectiveness.

Possible disadvantages of Sphinx Search

  • Complex Configuration
    Configuring Sphinx Search can be complex and might require a steep learning curve for new users.
  • Limited Multi-Language Support
    While it offers some support for multiple languages, it may not have as comprehensive language handling capabilities as some other search engines.
  • Lack of Real-Time Indexing
    Sphinx is not inherently designed for real-time indexing, which can be a limitation for use cases requiring instant updates.
  • Community Support
    Although it has an active community, the support network is not as extensive as those for larger, more established platforms.
  • Feature Set
    The feature set might not be as extensive or modern compared to other search platforms that have more recent updates and enhancements.

Category Popularity

0-100% (relative to Sphinx (search engine) and Sphinx Search)
Custom Search Engine
46 46%
54% 54
Custom Search
60 60%
40% 40
Search Engine
38 38%
62% 62
Search API
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sphinx (search engine) and Sphinx Search

Sphinx (search engine) Reviews

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Sphinx Search Reviews

The most overlooked part in software development - writing project documentation
# Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)import sys, os import sphinx_rtd_theme
Source: netgen.io
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
We will not make comparisons like Sphinx vs Solr, or Solr vs Sphinx, or Sphinx vs Elasticsearch as they all are decent competitors, with almost equal performance, scalability, and features. But each of them has specific peculiarities that can be influential for your project. Now, let’s take a look at which option can be better for your business.
Source: greenice.net

Social recommendations and mentions

Based on our record, Sphinx Search seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sphinx (search engine) mentions (0)

We have not tracked any mentions of Sphinx (search engine) yet. Tracking of Sphinx (search engine) recommendations started around May 2021.

Sphinx Search mentions (10)

  • Best 5 Ecommerce Search Engines for Developers
    Sphinx is a search engine that can be integrated into a website to provide advanced search functionality such as full-text, Boolean, and faceted search. It is a powerful open-source search engine that can handle large amounts of data and quickly return results. - Source: dev.to / about 2 years ago
  • Question about embedding for search vs clustering applications
    Have been using Sphinx. It does some processing around suffixes, tenses, and so on, and looks at word proximity (BM25), but is definitely limited. Source: about 2 years ago
  • grep like search with preprocessing
    Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 2 years ago
  • Search MySQL table for multiple keywords and return number of occurrences for each keyword per row
    Using a natural language search will almost certainly be a better solution and PHP may not be the best tool for this task. Figure out how you are going to get the text out of the PDF and where you are going to put it. Look at things like sphinx and full text search in boolean mode for doing the keyword matching. Source: over 2 years ago
  • How to do a Scryfall-like search?
    In practice though you don't do any of this, you get a library to do it for you. I've used Sphinx Search in the past for some fairly hefty (In the order of terabytes), and there's a good book covering how to get it all set up and started. Source: almost 3 years ago
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What are some alternatives?

When comparing Sphinx (search engine) and Sphinx Search, you can also consider the following products

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API

MkDocs - Project documentation with Markdown.

Manticore search - https://www.