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Apache Solr

Apache Solr

Overview

What is Apache Solr?

Apache Solr is an open-source enterprise search server.

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Recent Reviews

TrustRadius Insights

Solr, an open-source search platform, has been widely used across various industries for its versatile capabilities. Users have found Solr …
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What is Apache Solr?

Apache Solr is an open-source enterprise search server.

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What is Elasticsearch?

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

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Product Details

What is Apache Solr?

Apache Solr Technical Details

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Reviews and Ratings

(41)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Solr, an open-source search platform, has been widely used across various industries for its versatile capabilities. Users have found Solr to be an effective indexing mechanism for complex product data and user profiles, enabling rapid delivery of search results with minimal strain on hardware configurations. For example, a CTO at a real estate company implemented Solr in a Drupal powered e-commerce environment, resulting in remarkable success with the open-source integration. Additionally, Solr has been chosen as a NoSQL database for real estate search engines, managing vast amounts of classifieds and doubling the number of unique users.

Solr's functionality extends beyond e-commerce applications. It serves as a reliable search server in diverse projects such as city-wide websites, enterprise search functions, and internal company portals. By utilizing Solr, these platforms are able to deliver quick, accurate, and relevant search results to their users. Furthermore, Solr has transformed the retail domain by solving type-ahead search challenges and offering various faceting options that allow customers to quickly isolate their desired products.

The versatility of Solr is also evident in its application within the realm of venue data analysis and management. By implementing Solr in web portals that contain large collections of venue data, users can benefit from geospatial filtering and ease of use when searching and analyzing this information. In addition, Solr has proven to be an invaluable tool in e-commerce applications for product display, sorting, and management by facilitating easy querying and fetching of desired results.

Overall, Solr's ability to handle complex data indexing tasks and deliver fast search results has made it a popular choice for organizations across industries. Its versatility makes it suitable for various use cases ranging from enterprise search functions to retail domains and beyond.

Fast Performance: Many reviewers have praised the platform for its fast performance. They have found it impressive and appreciated the ability to rapidly grow their environments to meet expanding business needs.

Flexibility of Solr: Users have mentioned that Solr is highly flexible and can be customized to meet specific business needs. They have been able to make Solr bend to their requirements, which they found advantageous.

Useful Functionality: Reviewers have emphasized the usefulness of Solr's faceted navigation and field collapsing/grouping functionalities. These features allow them to filter and obtain quick results for their websites, resulting in good and efficient outcomes for their customers.

Difficult Configuration: Several users have reported that they found the platform to be challenging to configure, particularly in terms of its ease of use. They have encountered difficulties while setting up and customizing the platform according to their needs.

Lack of Developer Community Understanding: Some reviewers have mentioned that they faced challenges in finding talent or developers who were well-versed with the platform. The lack of understanding within the developer community has made it harder for users to find suitable resources or support for their projects.

Slow Development on Drupal 8 Integration APIs: Users have expressed frustration with the slow progress in developing APIs for integrating the platform with Drupal 8. Specifically, they highlighted issues related to Apache Solr usage and integration, which impacted their ability to leverage the full potential of both platforms effectively.

Users have provided several recommendations for using Solr in various business aspects. One of the most common recommendations is to leverage Solr's capabilities for storing and indexing data from different sources, allowing users to easily search and retrieve information. Another common recommendation is to take advantage of the quick learning curve, easy client-side coding, and straightforward setup of Solr. Users also recommend using Solr for searching massive amounts of data as it offers efficient performance and scalability. In addition, some users suggest using the latest version of Solr to benefit from its improved features and enhancements. Furthermore, users recommend considering both Elasticsearch and Solr to determine which one best suits their specific access methods and query requirements. Lastly, users find Solr useful for real-time search functionality, including word or partial word search, word synonyms, and the cost-effectiveness it offers.

Reviews

(1-10 of 10)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
I am an e-commerce website developer in my organization and our application uses mainly Apache Solr for the display, sorting, and managing of products on our website. With the Apache Solr in use products sorting, filtering with ranges, fetching filtered results, and display of products on list pages is possible. With a simple query, we can fetch desired results, and the query in Apache Solr is easy to learn.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Apache Solr is used to index and store billions of activity events as a document containing information such as time of activity, the user performing the activity, type of activity, and a few business-relevant fields. The data is queried and served as part of the user activity request. It's used within the department and it addresses searching for specific user activity events among billions of events.
Score 8 out of 10
Vetted Review
Verified User
We use Solr as a search server in our eCommerce project which our product data is stored as documentation. Solr works as both a data store server and search indexer. It provides a very high-speed query to respond almost immediately in milliseconds, allowing us to support the TypeAhead function to our end user.
Richard Davies | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We use Solr as the search engine for our new city-wide website that we're building using the Drupal open source content management system. We want to make it easy for citizens to find the city services and information that they're seeking and search is a critical feature. We need it to deliver quick, accurate, and relevant results.
Robyne Gallacher | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Apache Solr helps us create a dynamic and engaging search engine interface for our customers. It addresses the challenge of delivering accurate and fast search results to the users of our website. It allows our development teams to customize the search experience to our unique needs.
Kelvin Yeo | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Apache Solr is the underlying search engine servicing our Enterprise Search functions. Our instance indexes both structured data like Oracle records and unstructured data like PDF files. Its ability to return relevancy ranked results from textual search terms enabled my organization to find information faster.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Solved Type-ahead search and provide various faceting options to keep the customer engaged in a Retail domain so that he/she can isolate their products in less than 3 clicks.
  • Information Retrieval, Search Engines prototype, Query suggestion Systems
  • We are utilizing Solr with our Google Search Appliances for the search functionality within out internal company portal. Solr helps us query other databases for personnel and location information.
  • We needed to improve the relevance and performance of our existing search, and by using Solr did both of these with the added benefit of reducing the load on our Oracle Database. We improved our relevance and customers immediately noticed the difference. That was with the 'out-of'the'box' settings, we can see how this can be improved further.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
At my company we use Apache Solr to help improve customer experience when it comes to searching and analyzing our large collections venue data on our web portal. Apache Solr allows us to restrict data based on geospatial features, organizing data into coupled groups using pivots, and provides the performance and ease of use that makes it great for developing with. It took only a few hours to have a successful proof of concept up and running and very few changes were needed out-of-the-box. The other benefit to working with Apache Solr is the active and large developer community and the well-maintained and easy to read resources.
Peter Feddo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We utilize Solr as an indexing mechanism for complex product data and user profiles. It allows us to rapidly deliver search results with minimum strain on our hardware configurations.

We're currently implementing Solr in a Drupal powered e-commerce environment and enjoying amazing success with the open source integration.
Philippe Kozak | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
I worked as a CTO for a pure play company in real estate activity. We had to design and to build five websites for the customers of real estate agencies. We manage about 2 millions classifieds. This area is highly competitive. An the same time, we doubled our unique number of users. So we (the people I managed and myself) decided to use a NoSQL database for our search engine. Our choice went to Apache Solr 4. This DB redesign was done at the same time as a PHP code redesign with Zend Framework. All our five websites were redesigned over a period of 2.5 years. We did a proof of concept with Apache Solr when we needed to redesign our registered customers searches (match 500k searches with 2M classifieds).
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