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Apache Solr

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MeiliSearch

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Apache Solr vs MeiliSearch: 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; MeiliSearch: *Ultra relevant, instant and typo-tolerant full-text search API *. It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

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

MeiliSearch is an open source tool with 731 GitHub stars and 24 GitHub forks. Here's a link to MeiliSearch's open source repository on GitHub.

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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 MeiliSearch?

    It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

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

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    What companies use MeiliSearch?
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    What tools integrate with Apache Solr?
    What tools integrate with MeiliSearch?
    What are some alternatives to Apache Solr and MeiliSearch?
    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