Apache Solr Reviews and Ratings

Use Cases and Deployment Scope

We use Apache Solr in different cases. The most usual is for index and searching, and it do it great! The accuracy is impressive. The other case is for caching some information and keep it worm. This case is very helpfull when some information do not need constant update and can be retrived from get requests.

Likelihood to Recommend

For index search itens in a database, it is the best! The accuracy is fantastic. For caching information, it is good as well, but there are better and most appropriated softwares to do that.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

Apache Solr is very useful in e-commerce websites. Apache Solr can be used for major features like sorting and filtering on websites. Querying in Apache Solr is easy. With the use of the Apache Solr website's response, time can be improved as results fetched using Apache Solr are faster compared to the database.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

Apache Solr is a very quick and easy way to search for keywords within a document; the ability to add weightings to search terms to increase the outcome of search relevance gives it great flexibility. 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.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

Solr is suitable in almost every case for Indexing and Searching data, but If you need to expose your Solr server to the external network, you need to integrate with another authentication solution. Reviewing your business on input and response data to define a good strategy for Master and Slaver Nodes will save cost and increase system performance.

Solr would not fit if you want a data warehouse for storing data in binary or unstructured data.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

<div>Solr is an open source product so it's available for free. It's a good choice if you want to keep costs down but need a powerful and flexible search engine. But it will require some time to learn how to use it effectively. Also, you will either need to maintain it on your own server (which takes time and expertise) or pay to have someone else maintain it on a hosted server.

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</div><div>It's not the best choice if you want a turnkey solution that's quick to implement and easy to configure. But those type of solutions are usually very expensive.

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Use Cases and Deployment Scope

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.

Likelihood to Recommend

Solr is great if you are interested in customizing and configuring a search experience for your users. Without configuration, the search experience is fairly basic and would not be suitable for a large website, but if you are willing to put in the time and development, it can become a very powerful tool that will engage your consumers.

Use Cases and Deployment Scope

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.

Likelihood to Recommend

It is suitable for indexing varying types of content and in applying a consistent search experience across all the content. It is less suitable for environments where indexing new content comes at higher frequencies.

Use Cases and Deployment Scope

<div class="row"><ul><li>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.</li><li>Information Retrieval, Search Engines prototype, Query suggestion Systems</li><li>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.</li><li>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. </li></ul></div>

Likelihood to Recommend

<ul><li> Type ahead search - The application needs to build a short list of match words based on users' input as they typing into a search field. The search field is unified search field, that means multiple data types to be searched. For example, the field can be built for search of a "clothing type" like "Jeans" and you get options like "Jeans Slim" etc.</li><li>Managing the Solr instances was proving to be a pain.

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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.

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.

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.

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.