Apache Lucene Core
Business Profile
Core Value Proposition
Apache Lucene Core provides high-performance search and indexing capabilities for applications.
Target Customer
Software developers and engineering teams building search-powered applications; organizations needing advanced search and indexing features.
Key Differentiator
Open-source, Apache 2.0 licensed core search library that serves as the search core for leading platforms (Solr and Elasticsearch) and is described as Proven, high-performance, with a large, active community.
Implementation Timeline
Not specified in the content.
Pain Points
- 1Need scalable, high-performance indexing and search over large datasets.
- 2Need a feature-rich search library supporting advanced query types, faceting, highlighting, and ranking.
- 3Prefer an open-source, commercially friendly license for use in both open-source and commercial projects.
Key Features
- 1Scalable, high-performance indexing (over 800GB/hour on modern hardware).
- 2Rich query capabilities: phrase queries, wildcard queries, proximity queries, range queries, and various fielded searches.
- 3Nearest-neighbor search for high-dimensional vectors.
- 4Flexible faceting, highlighting, joins and result grouping.
- 5Pluggable ranking models (e.g., Vector Space Model, BM25) and configurable storage codecs; cross-language bindings via PyLucene.
Target Customer Industries
Decision Makers
- 1CTO
- 2VP of Engineering
- 3Engineering Manager
- 4Software Architect
- 5Senior Software Engineer
Client Results
- 1High-performance search and indexing capabilities powering major platforms and applications.
- 2Proven stability and ongoing innovation with regular releases.
- 3Open-source licensing enables broad adoption and flexible integration.
Competitive Advantages
- 1Open-source with Apache License 2.0, enabling free use in commercial and open-source projects.
- 2Core search library powering Apache Solr and Elasticsearch, indicating broad adoption and support.
- 3High performance and a rich feature set for modern search needs.
- 4Cross-language access via PyLucene for Python integration.
Key Benefits
Case Studies & Success Stories
Lucene as the search core for major platforms
Lucene is described as powering applications the world over, with examples including sites like Twitter, Apple and Wikipedia.
Additional Product Information
Product Description
Lucene Core is a high-performance, full-featured search engine library written entirely in Java, supporting structured search, full-text search, faceting, nearest-neighbor search across high-dimensionality vectors, spell checking, and query suggestions.
Target Market
Developers and organizations requiring embedded, scalable search and indexing capabilities within applications.
Unique Value Proposition
Open-source, Apache-licensed core search library that serves as the foundation for leading search platforms (Solr, Elasticsearch) and supports a comprehensive suite of search features.
Technical Requirements
Lucene Core is a Java library; a Python binding exists via PyLucene which embeds a Java VM and requires Python 3.x and Java (specific version requirements vary by PyLucene version). PyLucene 10.x requires Java 21+; PyLucene 9.x requires Java 11+; PyLucene 8.x and earlier require Java 8+. Building PyLucene requires GNU Make and a C++ compiler.
Pricing Model
Open-source; Apache License 2.0; free to download and use.
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