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  1. Stackups
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  4. Search Engines
  5. Lucene vs Sonic Server

Lucene vs Sonic Server

OverviewComparisonAlternatives

Overview

Lucene
Lucene
Stacks175
Followers230
Votes2
Sonic Server
Sonic Server
Stacks4
Followers24
Votes0
GitHub Stars21.0K
Forks604

Lucene vs Sonic Server: What are the differences?

What is Lucene? A high-performance, full-featured text search engine library written entirely in Java. Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

What is Sonic Server? Fast, lightweight & schema-less search backend. A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

Lucene and Sonic Server can be categorized as "Search Engines" tools.

Some of the features offered by Lucene are:

  • over 150GB/hour on modern hardware
  • small RAM requirements -- only 1MB heap
  • incremental indexing as fast as batch indexing

On the other hand, Sonic Server provides the following key features:

  • Search terms are stored in collections, organized in buckets
  • Search results return object identifiers

Sonic Server is an open source tool with 6.82K GitHub stars and 182 GitHub forks. Here's a link to Sonic Server's open source repository on GitHub.

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Detailed Comparison

Lucene
Lucene
Sonic Server
Sonic Server

Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

over 150GB/hour on modern hardware;small RAM requirements -- only 1MB heap;incremental indexing as fast as batch indexing;index size roughly 20-30% the size of text indexed;ranked searching -- best results returned first;many powerful query types: phrase queries, wildcard queries, proximity queries, range queries;fielded searching (e.g. title, author, contents);sorting by any field;multiple-index searching with merged results;allows simultaneous update and searching;flexible faceting, highlighting, joins and result grouping;fast, memory-efficient and typo-tolerant suggesters;pluggable ranking models, including the Vector Space Model and Okapi BM25;configurable storage engine (codecs)
Search terms are stored in collections, organized in buckets; Search results return object identifiers;; Search query typos are corrected; Insert and remove items in the index; Auto-complete any word in real-time;; Full Unicode compatibility; Networked channel interface; Easy-to-use libraries
Statistics
GitHub Stars
-
GitHub Stars
21.0K
GitHub Forks
-
GitHub Forks
604
Stacks
175
Stacks
4
Followers
230
Followers
24
Votes
2
Votes
0
Pros & Cons
Pros
  • 1
    Fast
  • 1
    Small
No community feedback yet
Integrations
Solr
Solr
Java
Java
PHP
PHP
Python
Python
Rust
Rust
Golang
Golang
Node.js
Node.js

What are some alternatives to Lucene, Sonic Server?

Sphinx

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Google

Google

Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

YugabyteDB

YugabyteDB

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Searchkick

Searchkick

Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

Apache Solr

Apache Solr

It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.

Qdrant

Qdrant

It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.

Weaviate

Weaviate

It is an open-source vector search engine. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.

AddSearch

AddSearch

We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

Carrot2

Carrot2

It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.

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