Apache Solr Reviews & Insights

Score8.9 out of 10

41 Reviews and Ratings

Community insights

TrustRadius Insights for Apache Solr are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

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.

Apache Solr Reviews

2 Reviews

Engineering

Apache Solr is a Win With Drupal

Rating: 9 out of 10

Incentivized

April 3, 2017

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.
Drupal 8 -- We've been frustrated with slow development on APIs for Drupal 8 integration.

Likelihood to Recommend

Solr spins up nicely and works effectively for small enterprise environments providing helpful mechanisms for fuzzy searches and facetted searching.

For larger enterprises with complex business solutions you'll find the need to hire an expert Solr engineer to optimize the powerful platform to your needs.

Internationalization is tricky with Solr and many hosting solutions may limit you to a latin character set.

Peter Feddo

Senior Front End Developer in Engineering at GSATi (Computer Software, 11-50 employees)

Vetted Review

View profile

Apache Solr - Performance, Reliability, and No Headaches!

Rating: 9 out of 10

Incentivized

March 29, 2017

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

Very effective for end-user searching applications and for generating search results. Also very well suited to those looking for high reliability and performance. If [you're doing] fuzzy searching or if you are working on a smaller end-user application or an internal application that does not require high performance and flexible/adapting searching then it may not be necessary to use Solr.

Verified User

Engineer in Engineering (Computer Software company, 51-200 employees)

Vetted Review

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Apache Solr - Performance, Reliability, and No Headaches!

Rating: 9 out of 10

Incentivized

March 29, 2017

Use Cases and Deployment Scope

Pros

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.

Cons

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.

Likelihood to Recommend

Verified User

Engineer in Engineering (Computer Software company, 51-200 employees)

Vetted Review