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Lucene

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Lucene

Lucene Reviews and Details

This page is designed to help you find out whether Lucene is good and if it is the right choice for you.

Screenshots and images

  • Lucene Landing page
    Landing page //
    2023-10-01

Features & Specs

  1. High Performance

    Lucene is designed for high-performance indexing and searching. It can handle large volumes of data and provide fast search results, making it suitable for applications requiring quick data retrieval.

  2. Scalability

    Lucene is highly scalable, capable of managing and performing well with large datasets. Its performance remains consistent across varying data sizes, which is critical for growing applications.

  3. Flexibility and Customizability

    Lucene offers a high degree of flexibility and customizability, allowing developers to tailor search capabilities to specific needs, including custom scoring, tokenization, and ranking algorithms.

  4. Rich Features

    Lucene provides a comprehensive set of features such as term boosting, wildcard queries, proximity searches, and more, which enhance its search capabilities for complex querying needs.

  5. Open Source Community

    As an Apache project, Lucene benefits from a robust open-source community, ensuring continuous updates, improvements, and support, fostering a reliable and well-maintained codebase.

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Videos

Lucene Indexing Tutorial | Solr Indexing Tutorial | Search Engine Indexing | Solr Tutorial |Edureka

Lucene Search Essentials: Scorers, Collectors and Custom Queries, Mikhail Khludnev

Television News Search and Analysis with Lucene/Solr

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Lucene and what they use it for.
  • Elasticsearch: 15 years of indexing it all, finding what matters
    Countless Apache Lucene contributions. - Source: dev.to / 11 months ago
  • Testing MongoDB Atlas Search Java Apps Using TestContainers
    MongoDB Atlas Search is an extension to the built-in indexing capabilities that are part of MongoDB itself, using the awesome open source indexing and query library Lucene. MongoDB has built a wrapper around Lucene called mongot. Mongot has two responsibilities: First, it follows the change stream of any collection you choose to index and builds Lucene indexes asynchronously. Second, when you run the $search... - Source: dev.to / about 1 year ago
  • Integrating Full-Text Search with Hibernate Search in a Java Application
    Implementing full-text search in an application can be challenging, but Hibernate Search simplifies the process by offering a built-in solution that requires minimal configuration. It seamlessly integrates with powerful search engines like Elasticsearch and Lucene, enabling efficient and scalable search capabilities. - Source: dev.to / over 1 year ago
  • Unveiling Apache Lucene: Open Source Innovation, Funding, and Community
    In todayโ€™s digital landscape, open source projects are the engines of innovation that drive technological progress and collaboration. One such powerhouse is Apache Lucene. Recognized as one of the most advanced high-performance text search engine libraries, Apache Lucene not only excels technically but also sets a benchmark in open source business models and sustainable funding. In this post, we delve into... - Source: dev.to / over 1 year ago
  • Lucene and I
    It just be this easy with a little Java elbow grease. And because itโ€™s fairly straightforward to send data into Lucene and then query it powerfully, and because Mr. Cutting nurtured such a benevolent, inviting yet demanding, open source environment, an entire ecosystem of add-ons, forks, ports, wrappers, and companies, and ... And ... AND! - Source: dev.to / over 1 year ago
  • Considerations for Unicode and Searching
    Solr is based on the Lucene library, as is Elastic. I mention this because these two search engines provide most private web site search capabilities on the internet. I started using Lucene around 25 years ago in Perl - it works well. - Source: dev.to / about 2 years ago
  • YaCy, a distributed Web Search Engine, based on a peer-to-peer network
    There are already many project about search: - https://www.marginalia.nu/ - https://searchmysite.net/ - https://lucene.apache.org/ - elastic search - https://presearch.com/ - https://stract.com/ - https://wiby.me/ I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention. I have also been gathering links meta data for some time. Maybe I will use them to feed any... - Source: Hacker News / over 2 years ago
  • Getting started with Elasticsearch + Python
    Elasticsearch is based on Lucene and is used by various companies and developers across the world to build custom search solutions. - Source: dev.to / over 2 years ago
  • Tools to use to query and index data?
    Elastic search is kinda heavyweight infra for a small project. Its built on top of apache lucene (https://lucene.apache.org), which you can use directly. Source: about 3 years ago
  • Top metrics for Elasticsearch monitoring with Prometheus
    Elasticsearch is based on Lucene, which is built in Java. This means that monitoring the Java Virtual Machine (JVM) memory is crucial to understand the current usage of the whole system. - Source: dev.to / about 3 years ago
  • Cross data type search that wasnโ€™t supported well using Elasticsearch
    Apache Lucene which seems to have a lot more features than Elasticsearch. Source: over 3 years ago
  • How to find closest keyphrase match in text?
    Generally with term vectors and a tf-idf index. Lucene is a good starting place to help. Source: over 3 years ago
  • Java Library to perform string search
    Try elasticsearch or solr, behind the scenes they both use https://lucene.apache.org/ if you don't want basically a full nosql database service, but I'd just slap solr up and call it a day. Source: over 3 years ago
  • Top 8 Open-Source Observability & Testing Tools
    OpenSearch is an open-source database to ingest, search, visualize, and analyze data. Itโ€™s built on top of Apache Lucerce, a FOSS library for indexing and search, which OpenSearch leverages for more advanced analytics capabilities, like anomaly detection, machine learning, full-text search, and more. - Source: dev.to / over 3 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 3 years ago
  • System Design: The complete course
    Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. It is built on top of Apache Lucene. - Source: dev.to / almost 4 years ago
  • Search text from PDF files stored in an S3 bucket
    Weโ€™re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 4 years ago
  • Best (most recent) way to geo-locate IP's and display a heatmap
    Elasticsearch is the database and is based on Apache Lucene, which is a time-series database similar to InfluxDB. Logstash is the service that listens on selected ports, ingests data pipelines, processes the data (eg. Does geolocation or domain lookups of IP addresses), and writes the data to Elasticsearch. Kibana is equivalent to Grafana and manages visualizations (panels) and dashboards. Source: almost 4 years ago
  • Is there already a product out there where you can write a keyword (or keywords) and be given the nearest section of a HUGE word document, access it to read or write, and then save it and it saves to the same section of that word document without having to open the whole document.
    Apache Lucene would give you the indexing functionality you're looking for. Source: over 4 years ago
  • Approximate/Fuzzy Searching
    Push the things you want to have in your full-text index into an open-source full-text solution, ie Apache Lucene. Source: over 4 years ago
  • Introduction to OpenSearch
    In short, OpenSearch is an open source alternative to Elasticsearch. It is a search and analytics suite that includes a search engine daemon, OpenSearch, NoSQL database, and a visualization interface. It offers a distributed, full-text search engine based on Apache Lucene with a RESTful API interface and support for JSON documents. - Source: dev.to / over 4 years ago

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Is Lucene good? This is an informative page that will help you find out. Moreover, you can review and discuss Lucene here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.