Software Alternatives, Accelerators & Startups

Typesense VS Manticore search

Compare Typesense VS Manticore search and see what are their differences

Typesense logo Typesense

Typo tolerant, delightfully simple, open source search 🔍

Manticore search logo Manticore search

https://www.
  • Typesense Landing page
    Landing page //
    2022-11-07
  • Manticore search Landing page
    Landing page //
    2023-03-26

Typesense features and specs

  • High Performance
    Typesense offers highly optimized search capabilities with fast response times, ensuring quick retrieval of search results even with large datasets.
  • Easy to Set Up
    Typesense is user-friendly and can be quickly set up using a simple configuration, making it accessible for developers who need a straightforward search solution.
  • Real-Time Indexing
    Typesense supports real-time indexing, meaning new data or updates to existing data are searchable almost immediately without significant delay.
  • Open Source
    Being an open-source solution, Typesense provides transparency, community support, and the possibility for customization to meet specific needs.
  • Typo Tolerance
    Typesense’s built-in typo tolerance allows for forgiving spell-check and correction, enhancing user experience by returning relevant results despite minor typing errors.
  • Faceted Search
    The platform supports faceted search, which lets users narrow down search results through various categories, improving relevancy and user navigation.

Possible disadvantages of Typesense

  • Limited Advanced Features
    Compared to some competitors, Typesense offers fewer advanced search features like natural language processing or machine learning-based relevance tuning.
  • Community Support
    Being relatively newer, Typesense has a smaller user base and community support compared to established search engines like ElasticSearch or Solr.
  • Documentation
    Some users may find Typesense’s documentation to be less comprehensive, potentially leading to a steeper learning curve for complex use-cases.
  • Scalability
    While Typesense is scalable, enterprise-level users managing extremely large datasets might find it less robust compared to established solutions that have been battle-tested in large-scale environments.
  • Ecosystem Integration
    The integration ecosystem is still developing, which means fewer out-of-the-box integrations with other popular tools and platforms compared to older search engines.

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.

Typesense videos

Getting started with Typesense

Manticore search videos

No Manticore search videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Typesense and Manticore search)
Custom Search Engine
82 82%
18% 18
Custom Search
80 80%
20% 20
Search Engine
85 85%
15% 15
Developer Tools
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 Typesense and Manticore search

Typesense Reviews

Best Elasticsearch alternatives for search
A plug for yours truly! At Relevance AI, we’re building an Elasticsearch alternative that is very different to alternatives like Algolia and Typesense. Relevance AI search is an instant search API that understands “semantics”.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Typesense is a fast, typo-tolerant search engine for building delightful search experiences. It claims that it is an Easier-to-Use ElasticSearch Alternative & an Open Source Algolia Alternative.
Source: vishnuch.tech
Recommendations for Poor Man's ElasticSearch on AWS?
Oh hey! I'm one of the co-founders of Typesense. Delighted to stumble on a mention of Typesense on Indiehackers. Long time lurker, first time poster :)

Manticore search Reviews

We have no reviews of Manticore search yet.
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Social recommendations and mentions

Based on our record, Typesense should be more popular than Manticore search. It has been mentiond 58 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.

Typesense mentions (58)

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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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What are some alternatives?

When comparing Typesense and Manticore search, you can also consider the following products

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.

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

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

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

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

Vespa.ai - Store, search, rank and organize big data