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.
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.
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.
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.
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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Check the traffic stats of Lucene on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Lucene on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Lucene's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Lucene on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Lucene on Reddit. This can help you find out how popualr the product is and what people think about it.
Countless Apache Lucene contributions. - Source: dev.to / 11 months ago
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
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
In todayโs 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
It just be this easy with a little Java elbow grease. And because itโs 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
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
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
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
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
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
Apache Lucene which seems to have a lot more features than Elasticsearch. Source: over 3 years ago
Generally with term vectors and a tf-idf index. Lucene is a good starting place to help. Source: over 3 years ago
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
OpenSearch is an open-source database to ingest, search, visualize, and analyze data. Itโs 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
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
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
Weโre using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 4 years ago
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
Apache Lucene would give you the indexing functionality you're looking for. Source: over 4 years ago
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
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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