Xapian VS Quickwit

• Open Source
  Xapian is open-source software, which means it is free to use and you can modify its source code to fit your specific needs.
• Flexibility
  Xapian provides great flexibility with its API, allowing users to create complex search applications with customizable features.
• Language Support
  Xapian supports bindings for multiple programming languages, including Python, C++, PHP, Java, Perl, Ruby, and Tcl, making it accessible to developers with different technical stacks.
• Search Features
  Xapian offers advanced search functionalities such as probabilistic ranking, phrase search, Boolean search, and wildcard search, which enhance the user search experience.
• Scalability
  Xapian is designed to handle large volumes of data, making it suitable for applications requiring scalability.

Possible disadvantages

• Complexity
  Setting up and configuring Xapian can be complex and may require a steep learning curve, especially for users unfamiliar with search engine technologies.
• Documentation
  Although Xapian has documentation, some users find it lacking in depth, which can be a hindrance to those trying to leverage advanced features efficiently.
• Limited Ecosystem
  Compared to more popular search engines like Elasticsearch, Xapian has a smaller ecosystem and community, which can limit the availability of plugins, integrations, and community support.
• Performance
  While Xapian is scalable, very large-scale deployments might see performance challenges, necessitating additional optimization or the use of more robust solutions.
• Maintenance
  Being a less mainstream option, finding ongoing maintenance and support professionals familiar with Xapian might be more challenging than with more widely used alternatives.

• Scalability
  Quickwit is designed to handle large-scale data and can efficiently manage data distribution across multiple nodes.
• Fast Ingestion
  It supports quick data ingestion, which makes it suitable for applications requiring real-time or near-real-time data processing.
• Efficient Querying
  Optimized for fast search operations which can significantly reduce the time required to query large datasets.
• Open Source
  Being open source, Quickwit allows users to contribute to the code base, customize it according to their needs, and avoid vendor lock-in.
• Lower Resource Usage
  Designed to be memory-efficient, Quickwit minimizes resource consumption compared to other search tools.

Possible disadvantages

• Maturity
  As a relatively new project, Quickwit may not be as mature as other well-established search platforms, which can affect stability and feature set.
• Community Support
  It may have a smaller community compared to other open-source search engines, which can limit resources for troubleshooting and community engagement.
• Limited Ecosystem
  The ecosystem of plugins and integrations might be limited compared to more established platforms like Elasticsearch.
• Learning Curve
  New users or those accustomed to other technologies might face a learning curve in understanding and implementing Quickwit’s functionalities.

• Xapien raises $56M Series B for AI background checks and due diligence

  Unfortunate name choice, it's the name of an established open source project https://xapian.org/. - Source: Hacker News / 17 days ago

• Making a huge collection of PDF's searchable (They are OCR'd already)

  Recoll is free/open source (GPL) that can index PDFs and search them very quickly. It uses Xapian under the hood. I have over 165,000 documents indexed on an old laptop running Linux and can query them all in a split second. Source: almost 3 years ago

• An alternative to Elasticsearch that runs on a few MBs of RAM

  + xapian which has been around a while, and while gpl licensed, is quite capable https://xapian.org/. - Source: Hacker News / almost 4 years ago

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• HorizonDB, a geocoding engine in Rust that replaces Elasticsearch

  Nice... it's cool to see how different companies are putting together best fit solutions. I'm also glad that they at least started out with off the shelf apps instead of jumping to something like a bespoke solution early on. Quickwit[1]... - Source: Hacker News / about 1 year ago

• Tantivy – full-text search engine library inspired by Apache Lucene

  Https://github.com/quickwit-oss/quickwit to_tsvector in PG never worked well for my use cases SELECT * FROM dump WHERE to_tsvector('english'::regconfig, hh_fullname) @@ to_tsquery('english'::regconfig, 'query'); Wish them to succeed.... - Source: Hacker News / over 2 years ago

• S3 Express Is All You Need

  We tested S3 Express for our search engine quickwit[0] a couple of weeks ago. While this was really satisfying on the performance side, we were a bit disappointed by the price, and I mostly agree with the article on this matter. I can... - Source: Hacker News / almost 3 years ago

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