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Solr

647
511
+ 1
125
Swiftype

191
77
+ 1
11
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Solr vs Swiftype: What are the differences?

Developers describe Solr as "An open source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication etc". Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. On the other hand, Swiftype is detailed as "Powerful and scalable search for any application or website". Swiftype is the easiest way to add great search to your website or mobile application.

Solr and Swiftype are primarily classified as "Search Engines" and "Search as a Service" tools respectively.

Some of the features offered by Solr are:

  • Advanced Full-Text Search Capabilities
  • Optimized for High Volume Web Traffic
  • Standards Based Open Interfaces - XML, JSON and HTTP

On the other hand, Swiftype provides the following key features:

  • Quick Start- Install by pasting a JavaScript snippet in your page.
  • Autocomplete- our search engines come with autocomplete built-in
  • Detailed Analytics- Our built-in search analytics give you real-time insight into what your users are looking for.

"Powerful" is the top reason why over 33 developers like Solr, while over 7 developers mention "Very easy setup and highly customizable for your search" as the leading cause for choosing Swiftype.

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Pros of Solr
Pros of Swiftype
  • 35
    Powerful
  • 22
    Indexing and searching
  • 20
    Scalable
  • 19
    Customizable
  • 13
    Enterprise Ready
  • 5
    Apache Software Foundation
  • 5
    Restful
  • 4
    Great Search engine
  • 2
    Security built-in
  • 8
    Very easy setup and highly customizable for your search
  • 1
    Easy setup
  • 1
    Analytics
  • 1
    Role devision to develop, design, manage

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Cons of Solr
Cons of Swiftype
    Be the first to leave a con
    • 1
      Expensive
    • 1
      API Calls Monitoring/Alerts
    • 1
      Cost Prediction
    • 1
      Customer Support

    Sign up to add or upvote consMake informed product decisions

    What is Solr?

    Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

    What is Swiftype?

    Swiftype is the easiest way to add great search to your website or mobile application.

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

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

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    What are some alternatives to Solr and Swiftype?
    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.
    Algolia
    Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
    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).
    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.
    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.
    See all alternatives