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Apache Solr

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Last updated on

Ratings

G2
4.1/5
(26)
Capterra
4.3/5
(14)

Apache Solr description

Apache Solr is an open-source search platform designed for businesses that need fast and reliable search capabilities. It's like a super-powered search engine for your company's data. Solr excels at handling large volumes of information, making it suitable for businesses with extensive data archives. Its strength lies in delivering accurate search results even with complex search queries. While it requires technical expertise to set up and manage, Apache Solr promises robust and highly customizable search functionality for your digital content.


Who is Apache Solr best for

Apache Solr is a robust, open-source search platform designed for businesses needing advanced search capabilities. Its strengths lie in handling large volumes of data and complex queries, delivering fast, accurate results. Users praise its customization and indexing capabilities but note the complex setup and limited documentation. Ideal for medium to large businesses in data-heavy industries like ecommerce and media, Solr offers powerful search functionality if you have the technical expertise.

  • Ideal for medium to large businesses (101+ employees).

  • Best fit for Ecommerce, Media & Entertainment, Software companies.


Apache Solr features

Supported

Solr is designed for speed and reliability, especially for large volumes of data.

Supported

Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more.

Supported

Solr provides distributed indexing, replication and load-balanced querying to handle large datasets and high traffic.

Supported

Solr includes automated failover and recovery, ensuring high availability and data integrity.

Supported

Solr offers centralized configuration to manage settings across a distributed search setup.

Supported

Containerize your Solr deployments with Docker.

Supported

Automate the deployment of Solr with Kubernetes.


Apache Solr reviews

We've summarised 40 Apache Solr reviews (Apache Solr Capterra reviews and Apache Solr G2 reviews) and summarised the main points below.

Pros of Apache Solr
  • Excellent for document indexing and retrieval
  • Fast query results and indexing
  • Highly customizable schema and features like synonyms, faceting, and clustering
  • Good performance and scalability
  • Easy integration with APIs and data sources like CSV
Cons of Apache Solr
  • Difficult integration and weak support
  • Real-time solutions architecture is lacking
  • Limited built-in javascript library/datagrid integration for large datasets
  • Complex queries can be hard to implement in other languages
  • Less documentation and examples for configuration and usage

Apache Solr alternatives

  • Logo of Elastic Enterprise Search
    Elastic Enterprise Search
    Find anything, anywhere, instantly. Powerful, customizable search.
    Read more
  • Logo of Meilisearch
    Meilisearch
    Lightning-fast, relevant search for your website or app.
    Read more
  • Logo of Algolia
    Algolia
    Finds anything, instantly. Relevant results, happy users.
    Read more
  • Logo of Luigi's Box
    Luigi's Box
    AI-powered search, helping e-commerce sell more with ease.
    Read more
  • Logo of Datafari
    Datafari
    Open-source enterprise search unifying all your company data securely.
    Read more
  • Logo of Vectara
    Vectara
    Accurate, secure AI search for your company's data.
    Read more

Apache Solr FAQ

  • What is Apache Solr and what does Apache Solr do?

    Apache Solr is an open-source, highly scalable search platform known for its fast and reliable search capabilities. It excels at handling large data volumes and complex queries, making it ideal for robust, customizable search functionality. While requiring technical expertise, Solr delivers accurate results and features like faceting and clustering.

  • How does Apache Solr integrate with other tools?

    Apache Solr integrates with various data sources via APIs and supports Docker and Kubernetes for streamlined deployment and management. It offers centralized configuration for distributed setups, ensuring consistent performance and scalability across your infrastructure.

  • What the main competitors of Apache Solr?

    Top Apache Solr alternatives include Elastic Enterprise Search, Algolia, OpenSolr, and Searchify. These competitors offer similar robust search capabilities, with varying features like AI-powered search, cloud hosting, and ease of use. Consider your specific needs and technical expertise when choosing.

  • Is Apache Solr legit?

    Yes, Apache Solr is a legitimate open-source search platform known for its speed and reliability, especially for large datasets. It's highly customizable but requires technical expertise. Users praise its fast query results and indexing capabilities.

  • How much does Apache Solr cost?

    Apache Solr is an open-source project, so the software itself is free. However, costs may arise from infrastructure, support, and consulting services if needed. Is it worth it? This depends on your specific search and indexing needs.

  • Is Apache Solr customer service good?

    Customer reviews on Apache Solr's support are mixed. While some users have had positive experiences with the product's features and performance, others report difficulties with integration and weak support.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.