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About Apache Solr

Apache Solr is a search platform from Apache Software Foundation that provides capable full-text search capabilities. It combines community support, Solr Operator, and Docker integration so users can effectively manage and deploy search applications. With hundreds of features, Solr is versatile and can be used for various applications. It allows developers to create custom search solutions while using tools like Docker for containerization, making deployments easier and more efficient. The platform is designed for scalability and is suitable for handling large datasets. Key capabilities: full-text search distributed indexing faceted search real-time indexing analytics support Best for: developers and organizations that need reliable search solutions for their applications.

Apache Solr Details

Vendor
Apache Software Foundation
Year Launched
1999
Location
1000 N West St Suite 1200 Wilmington, Delaware 19801, US
Deployment
on premise, windows, linux
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Japanese, Chinese (Simplified), Chinese (Traditional), Dutch, Russian, Portuguese, Korean
Users
Search Engineer, Data Engineer, Software Developer, Machine Learning Engineer, DevOps Engineer, Big Data Architect, Systems Administrator, Site Reliability Engineer, Information Retrieval Specialist, Backend Engineer
Industries Served
E-commerce, Media and Publishing, Finance and Banking, Telecommunications, Healthcare, Government, Education, Transportation, Technology, Research and Analytics
Tags
#SearchEngine #OpenSource #EnterpriseSearch #Lucene #SolrCloud #BigData #Analytics #Scalability #DataIndexing #APISearch

Apache Solr's In-App Market Place

Does Apache Solr have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), INR (₹), MXN ($), CNY (¥), RUB (₽), BRL (R$)

Pros & Cons

  • Fast, reliable, and scalable full-text search with easy integration.
  • Excellent indexing performance, enabling quick and accurate query results.
  • Highly customizable with strong clustering and load balancing support.
  • Open-source flexibility allows seamless integration with many applications.
  • Great for enterprise-grade document indexing and e-commerce search needs.
  • Documentation could be clearer and more detailed for new developers.
  • Integration with third-party tools needs improvement and easier setup.
  • Initial configuration complexity may overwhelm less experienced users.
  • Requires significant maintenance for optimal performance at scale.
  • Limited native plugins compared to some commercial alternatives available.

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