Red Hat

Hibernate Search

Hibernate Search transparently indexes your objects and offers fast full-text, geolocation and data mining search capabilities. Easy to use, integrates with Apache Lucene, Elasticsearch and Hibernate ORM.

Full-text search for entities

Offers full-text search support for objects stored by Hibernate ORM, Infinispan and other sources. Think of it as Google(tm) for your entities:

  • search words with text

  • order results by relevance

  • find by approximation (fuzzy search)

Under the hood it will use Apache Lucene directly or over Elasticsearch.

Full control

Unlike with web search, this is your data, your domain, your application, stored wherever you decide.

You also have far better control on how your data is processed, and how to extract what you need.

Hibernate Search exposes all capabilities of the powerful analysis framework from Apache Lucene, so you can:

  • tune text processing for specific languages

  • for domain specific terminology (e.g. medical terms, custom acronyms expansion,..)

  • control the ranking process: which results are more important

  • advanced index encoding for analytics and signals

Additionally it allows to:

  • partition data, apply multi-tenancy for security and performance optimisations

  • perform declarative filtering, to control data access security via aspect based programming

Scalable, Fault Tolerant, Cloud Native

You’ll find that performance of a "single box" is exceptional, still it can be distributed.

Maintaining an high performance, scalable distributed index is not simple. Hibernate Search offers several architectural solutions:

  • Integration with Elasticsearch

  • Store the Apache Lucene index in an Infinispan distributed data grid

  • Simple filesystem based replication

  • Replicate changes across nodes using JMS, JGroups, or plug your own service

  • Update indexes within a JTA transaction, or as a post-transaction listener

These building blocks can be combined in various ways.

Spatial queries

Indexing Geolocalized entities is as easy as adding the @Spatial annotation.

Filter results around a certain location like the user position, and just highlight the matching pizzerias which are actually close to the user.

Faceting

Get query results organized by groups and categories, having these automatically discovered from your data.

For example webshops will want to show all results, but grouped by properties like price ranges and brand.

Easy to use

Designed to be easy to use from the ground up. Handles indexing, datastore synchronization, clustering and infrastructure transparently while you focus on the business side of your queries.

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