Software Alternatives, Accelerators & Startups

Manticore search VS Google Custom Search Engine

Compare Manticore search VS Google Custom Search Engine and see what are their differences

Manticore search logo Manticore search

https://www.

Google Custom Search Engine logo Google Custom Search Engine

Google Custom Search is a platform provided by Google that allows web developers to feature specialized information in web searches, refine and categorize queries and create customized search engines, based on Google Search.
  • Manticore search Landing page
    Landing page //
    2023-03-26
  • Google Custom Search Engine Landing page
    Landing page //
    2022-01-31

Manticore search features and specs

  • Open Source
    Manticore Search is open source, which means it is free to use, and the community can contribute to its development and maintenance.
  • Compatibility with Sphinx
    Manticore Search originated as a fork of the Sphinx search engine, offering compatibility and an easy transition for those familiar with Sphinx.
  • Real-Time Indexing
    Supports real-time indexing, allowing immediate updates to be reflected in the search results, which is beneficial for dynamic content.
  • SQL-like Query Syntax
    Offers a familiar SQL-like syntax for queries, making it easier for developers with SQL experience to adapt and implement search functions.
  • Distributed Search
    Supports distributed search capabilities, which allows it to handle large datasets across multiple servers, improving scalability.

Possible disadvantages of Manticore search

  • Smaller Community
    Compared to some other search engines like Elasticsearch, Manticore Search has a smaller community, which can impact the availability of third-party tools and plugins.
  • Limited Ecosystem
    The ecosystem surrounding Manticore Search is not as extensive or mature as those of more established search engines, potentially limiting integration options.
  • Steeper Learning Curve
    While it offers a powerful search capability, users unfamiliar with its Sphinx heritage or configurations may experience a steeper learning curve.
  • Feature Gaps
    May lack some advanced features offered by larger search platforms, such as built-in machine learning or advanced analytics capabilities.

Google Custom Search Engine features and specs

  • Easy Integration
    Google Custom Search Engine (CSE) allows for seamless integration into your website with just a few lines of code, providing a hassle-free way to add powerful search capabilities.
  • Customizable Appearance
    The appearance of the search engine can be customized to match the aesthetics of your website, ensuring a consistent user experience.
  • Google Search Algorithms
    CSE leverages Google's advanced search algorithms, which means it provides highly relevant search results and reliable performance.
  • Filtering and Restrictions
    You can specify certain sites or pages to be included or excluded from the search results, allowing for tailored control over search parameters.
  • Sponsored Links Integration
    By default, the search results can include relevant ads, providing potential revenue opportunities without additional work.
  • Multiple Sites Search
    CSE allows you to create search engines that span multiple websites or subsets of sites, enhancing the search scope as needed.

Possible disadvantages of Google Custom Search Engine

  • Advertising
    The free version of CSE displays ads alongside the search results, which could be distracting or undesirable for some users and website owners.
  • Limited Customization for Free Version
    The level of search result customization is limited unless you opt for the paid version, which may incur additional costs.
  • Dependency on Google Infrastructure
    Using CSE ties your site's search functionality to Google's infrastructure, which could be a concern for those seeking more independent or diversified solutions.
  • Privacy Concerns
    Using Google services for search means that information about users' search behavior can be collected by Google, potentially raising privacy issues.
  • Data Limitations
    The specificity and depth of data accessibility are limited compared to integrating a custom-built search engine with full database access.
  • Learning Curve
    Configuring and optimizing CSE, especially for more complex requirements, may require some learning and adjustment time from the developer's side.

Manticore search videos

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Google Custom Search Engine videos

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Category Popularity

0-100% (relative to Manticore search and Google Custom Search Engine)
Custom Search Engine
48 48%
52% 52
Custom Search
55 55%
45% 45
Search Engine
76 76%
24% 24
Search API
37 37%
63% 63

User comments

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Social recommendations and mentions

Google Custom Search Engine might be a bit more popular than Manticore search. We know about 22 links to it since March 2021 and only 17 links to Manticore search. 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.

Manticore search mentions (17)

  • Building a Reverse Image Search app with Manticore Search
    At Manticore Search, we explored several approaches to building an efficient reverse image search system. We wanted a practical solution that leveraged Manticore's powerful vector search while remaining accessible, and this led us to TinyCLIP — a streamlined model that runs efficiently on standard CPUs. - Source: dev.to / 6 months ago
  • Lexical Search vs. Vector Search: Exploring the Differences and Key Aspects
    Ready to enhance your search? Try Manticore Search to see how this powerful engine can improve your project with a blend of lexical and vector search. - Source: dev.to / 6 months ago
  • Lexical Search vs. Semantic Search: Understanding the Differences and Use Cases
    Manticore Search offers a powerful solution that integrates both lexical and semantic search capabilities. This combination allows users to benefit from the precision of keyword-based searches while also leveraging the contextual understanding of semantic search. Whether you're building an e-commerce platform, a content management system, or a research tool, Manticore Search provides the flexibility to implement... - Source: dev.to / 6 months ago
  • Fuzzy Search vs. Vector Search: Exploring Modern Search Technologies
    If you're interested in harnessing both fuzzy and vector search in your projects, consider exploring Manticore Search. It could be the game-changing solution you've been looking for to create a smarter and more effective search experience. - Source: dev.to / 6 months ago
  • Fuzzy Search vs. Semantic Search: Unraveling Advanced Search Technologies
    Manticore Search stands out as a powerful search engine that skillfully incorporates fuzzy search functionality and supports vector search capabilities. By offering fuzzy search and semantic vector search support, Manticore Search provides a flexible solution adaptable to various search requirements. Whether you need quick, error-tolerant matching or want to experiment with vector-based similarity searches,... - Source: dev.to / 6 months ago
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Google Custom Search Engine mentions (22)

  • Website Search Hurts My Feelings
    There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort). - Typesense (https://github.com/typesense/typesense). - Source: Hacker News / over 1 year ago
  • How To De-index Your Docs From Google (And Then Fix It)
    One other important detail — there is an in-site search for the C7 docs. Notably, it is built on a programmable Google search engine. Basically, that means that the search functionality on the site is powered by Google. A search query entered into the C7 docs search box gives basically the same results as entering the query on google.com and filtering by site:docs.camunda.org. Again, "foreshadowing....". - Source: dev.to / over 1 year ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / over 1 year ago
  • Mullvad Leta
    We used this for a project: https://programmablesearchengine.google.com/about/ before we moved to Elastic Search. It has a REST API (and can be used to query the internet also). - Source: Hacker News / almost 2 years ago
  • Tutorial: Create an AI agent that reads Wikipedia for you
    First, you need to create a programmable search engine for Wikipedia. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Manticore search and Google Custom Search Engine, 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...

Swiftype - The simplest way to add search to your website or application. Sign up for free.

OpenSearch - OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.

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