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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If your desire is to use an Azure Bing Custom Search API for a definitive solution, I recommend that you run a test instance and try it out first. Test it and you will see how easy it is to get the results you want. Take the opportunity to test how easy it is to search for your user
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 Searching API for custom search integration Recommending solutions for our products Search Engine Optimization (SEO) options 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 Amount of results Marketing (still not really used) Algorithms regarding safe x non-safe x work safe Read full review Alternatives Considered
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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Azure Bing Custom Search is a commercial-grade solution that lets you create a highly personalized web search experience that delivers dramatically better and more relevant results. While Bing's Web Search API lets you search the entire web, Bing's Custom Search lets you select the slices of the web you want to search and control the ranking when searching within the targeted webspace.
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 Increase in productivity Better yield in income Satisfied customers Read full review ScreenShots