Apache Solr

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Solr
Score 6.6 out of 10
N/A
Apache Solr is an open-source enterprise search server.N/A
Pricing
Apache Solr
Editions & Modules
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Offerings
Pricing Offerings
Apache Solr
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
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Community Pulse
Apache Solr
Considered Both Products
Apache Solr
Chose Apache Solr
Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents.
Chose Apache Solr
We have considering AWS search and Elastic search but decide to go with Solr as we need high speed and flexible query, and so far it meets all our requirement so we still continue with Solr.
Chose Apache Solr
Before using Solr, we used a self-made search engine. Solr has helped us increase our capacity to serve our customers the results they are looking for easily without breaking down. Our previous platform was not dynamic enough to accommodate our growing traffic or smart enough …
Chose Apache Solr
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.
Chose Apache Solr
Between Solr and ElasticSearch, there is a constant struggle to pick the best one. ElasticSearch is part of ELK and ties in well with LogStash and Kibana which makes it great for logs and big data stuff. Add some logs and see which works best for your particular access methods …
Chose Apache Solr
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 …
Chose Apache Solr
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 …
Chose Apache Solr
Some people on my team tried MondoDB and had several problems (don't remember which ones).

Elasticsearch would be a good choice but we didn't have it in our minds when we made the choice.
Top Pros
Top Cons
Best Alternatives
Apache Solr
Small Businesses
Algolia
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Score 8.9 out of 10
Medium-sized Companies
Guru
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Score 9.0 out of 10
Enterprises
Guru
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Score 9.0 out of 10
All AlternativesView all alternatives
User Ratings
Apache Solr
Likelihood to Recommend
9.0
(10 ratings)
User Testimonials
Apache Solr
Likelihood to Recommend
Apache
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.
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Pros
Apache
  • 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.
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Cons
Apache
  • These examples are due to the way we use Apache Solr. I think we have had the same problems with other NoSQL databases (but perhaps not the same solution). High data volumes of data and a lot of users were the causes.
  • We have lot of classifications and lot of data for each classification. This gave us several problems:
  • First: We couldn't keep all our data in Solr. Then we have all data in our MySQL DB and searching data in Solr. So we need to be sure to update and match the 2 databases in the same time.
  • Second: We needed several load balanced Solr databases.
  • Third: We needed to update all the databases and keep old data status.
  • If I don't speak about problems due to our lack of experience, the main Solr problem came from frequency of updates vs validation of several database. We encountered several locks due to this (our ops team didn't want to use real clustering, so all DB weren't updated). Problem messages were not always clear and we several days to understand the problems.
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Alternatives Considered
Apache
Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents.
Read full review
Return on Investment
Apache
  • Improved response time in e-commerce websites.
  • Developer's job is easier with Apache Solr in use.
  • Customization in filtering and sorting is possible.
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