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Description

Solr is an exceptionally dependable, scalable, and resilient platform that offers distributed indexing, replication, and load-balanced querying, along with automated failover and recovery, centralized configuration, and much more. It serves as the backbone for search and navigation functionalities on numerous major internet platforms worldwide. With its robust matching capabilities, Solr supports a wide range of features such as phrases, wildcards, joins, and grouping across various data types. The system has demonstrated its efficacy at remarkably large scales globally. Solr integrates seamlessly with the tools you already use, simplifying the application development process. It comes equipped with a user-friendly, responsive administrative interface that facilitates the management of Solr instances effortlessly. For those seeking deeper insights into their instances, Solr provides extensive metric data through JMX. Built on the reliable Apache Zookeeper, it allows for straightforward scaling both upwards and downwards. Furthermore, Solr inherently includes features for replication, distribution, rebalancing, and fault tolerance, ensuring that it meets the demands of users right out of the box. Its versatility makes Solr an invaluable asset for organizations aiming to enhance their search capabilities.

Description

Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Algonomy Yes 
AllegroGraph Yes 
Apache Lucene Yes 
Apache Ranger Yes 
Apache Sentry Yes 
Azure Marketplace Yes 
Biel.ai No 
FindTuner Yes 
Germain UX Yes 
Hue Yes 
JanusGraph Yes 
Knoku No 
Mermaid Chart No 
Netdata Yes 
New Relic Yes 
OpenDQ Yes 
PushFeedback No 
Riak TS Yes 
Zulu Enterprise Yes 

Integrations

Algonomy No 
AllegroGraph No 
Apache Lucene No 
Apache Ranger No 
Apache Sentry No 
Azure Marketplace No 
Biel.ai Yes 
FindTuner No 
Germain UX No 
Hue No 
JanusGraph No 
Knoku Yes 
Mermaid Chart Yes 
Netdata No 
New Relic No 
OpenDQ No 
PushFeedback Yes 
Riak TS No 
Zulu Enterprise No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

lucene.apache.org/solr/

Vendor Details

Company Name

Sphinx

Founded

2007

Country

United States

Website

sphinxsearch.com

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering Yes 
Full Text Search Yes 
Fuzzy Search No 
Indexing Yes 
Text Analytics Yes 
eDiscovery No 

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

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