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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 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.
What is Klevu?
Klevu is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience, from Klevu Oy in Espoo.
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What is Apache Solr?
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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!
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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
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March 03, 2018
Solr has Flexible Query API
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.
- It is simple to access its data via REST API. The flexibility in adjusting the query in terms of boosting, faceting and more is very useful.
- It can scale horizontally by splitting shards, making it practically limitless in size.
- It has been stable in an operational production environment.
- It would be good to handle authentication natively in an enterprise scale. Currently it has to be wrapped by another service that does authentication.
- Support querying across multiple collections.
- Improve stability in Cross-Data-Center-Replication.
- It has enabled my organization to find information faster by being a one-stop service to search across content that were indexed from varying sources.
- By using synonyms and usual lemmatizations / stemming, it enabled discovery of new content following every search.
Azure Search is not as mature as Apache Solr at this point. So the range of query flexibility is less than Solr. Also, when indexing content goes beyond 1 TB, it might become costly for Azure Search.
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.
- Easy to get started with Apache Solr. Whether it is tackling a setup issue or trying to learn some of the more advanced features, there are plenty of resources to help you out and get you going.
- Performance. Apache Solr allows for a lot of custom tuning (if needed) and provides great out of the box performance for searching on large data sets.
- Maintenance. After setting up Solr in a production environment there are plenty of tools provided to help you maintain and update your application. Apache Solr comes with great fault tolerance built in and has proven to be very reliable.
- Indexing of data can sometimes be a slog, meaning it can sometimes take a while to get a large collection up and running if you have many fields that need to be indexed.
- Elasticsearch offers better support and flexibility.
- It has improved the customer experience of our web portal customers and has given them more options and control for finding the data they need.
Apache Solr in general stacks up very well to its competitors, it provides much of the same features and performance and has the benefits of being an open-source project with an active contributor base that works consistently and improves the platform. Depending on your setup it can also be a cost saver compared to many other competitors.
April 03, 2017
Apache Solr is a Win With Drupal
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.
We're currently implementing Solr in a Drupal powered e-commerce environment and enjoying amazing success with the open source integration.
- Speed -- This is a very fast platform.
- Scalability -- We can rapidly grow our environments to meet expanding business needs.
- Flexibility -- We can make Solr bend to our business needs and not the other way around.
- Ease of use -- this is not always the easier platform to configure.
- Developer Community -- There are not a whole lot of folks out there that understand this stuff so finding talent is difficult.
- Cheap -- it's free and open source so we love it!
- Developers Expensive -- It's hard to find talented developers and those that are available are expensive.
- Hardware Requirements -- Solr is not terribly expensive to operate on cloud machines.
We switched from search indexes stored in MySQL to soar and it's made a world of difference for our growing businesses. The relational databases are very poor for handling the complex data searches require and Solr delivered all the tools we need to get the performance our end users are demanding.