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Apache Solr

98
74
+ 1
0
Sphinx

268
241
+ 1
27
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Apache Solr vs Sphinx: What are the differences?

Apache Solr: An open source search platform. 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; Sphinx: Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind. Sphinx 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 Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well.

Apache Solr and Sphinx can be categorized as "Search Engines" tools.

Webedia, Grooveshark, and Ansible are some of the popular companies that use Sphinx, whereas Apache Solr is used by GameDuell, Capgemini, and Participant. Sphinx has a broader approval, being mentioned in 42 company stacks & 73 developers stacks; compared to Apache Solr, which is listed in 11 company stacks and 13 developer stacks.

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    What is 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.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Apache Solr?
    What companies use Sphinx?
    See which teams inside your own company are using Apache Solr or Sphinx.
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    What tools integrate with Apache Solr?
    What tools integrate with Sphinx?

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    What are some alternatives to Apache Solr and Sphinx?
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    Lucene
    Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    See all alternatives