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.
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Search Spring offers strong options for search customizations: synonyms, redirects, query replacements, spell corrections, etc. We enjoy the ability to boost and unique product display options. We were 4Tell customers prior to the Search Spring acquisition and we're looking forward to both being part of one console. Search Spring is a really solid, stable search/merch platform that I would recommend for any mid-market business.
Read full review 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. Read full review SearchSpring can pull in products that match specific terms according to your customizations in their dashboard. SearchSpring can change the main image of products to reflect what is being searched for, such as a specific color. SearchSpring can account for misspellings and typos in the search bar by using search customizations. Read full review Cons 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. Read full review Developing 'cocktails' of different ranking criteria. At the moment we can only serve results based on either 'relevancy' or 'sales performance'. It would be great to not only have the ability to blend these two options (by search term), but also add additional facets into the mix, such as stock quantity, margin, sponsorship factor etc... Provide financing reporting on results - so we know how much revenue/conversion has been driven from specific search terms. For example, "Baby Milk" drove 50 searches, 6 direct conversions (customers that searched went on to buy an item(s) that were recommended), 16 indirect conversions (customers that searched went on to buy other item(s) not severed). Read full review Support Rating
We have a monthly phone call with our account manager, and she is available for calls in between as well. She has always been accessible. Working with her has been easy and she has provided training where needed. She is proactive in making sure we have everything we need and feel comfortable with the platform.
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Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents.
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Nextopia’s features were on par or better than consideration set at a lower cost and with an easier implementation. Contract terms were also more favorable.
Read full review Return on Investment Improved response time in e-commerce websites. Developer's job is easier with Apache Solr in use. Customization in filtering and sorting is possible. Read full review Increased our site search speed. Increased conversion rate. Increase in sales by boosting best sellers and relevant items throughout the year. Read full review ScreenShots