Amazon CloudSearch vs. Apache Solr

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon CloudSearch
Score 7.9 out of 10
N/A
Amazon CloudSearch is enterprise search as a service, from Amazon Web Services.N/A
Apache Solr
Score 6.7 out of 10
N/A
Apache Solr is an open-source enterprise search server.N/A
Pricing
Amazon CloudSearchApache Solr
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon CloudSearchApache Solr
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Amazon CloudSearchApache Solr
Considered Both Products
Amazon CloudSearch
Chose Amazon CloudSearch
I always look upto some basic criteria while choosing up my search engine, which are easy to use approach, its capabilities of handling large data, its adaptability with other search engines and also keeps in mind the pricing factor and as compared to the above two, amazon …
Apache Solr

No answer on this topic

Top Pros
Top Cons
Best Alternatives
Amazon CloudSearchApache Solr
Small Businesses
Algolia
Algolia
Score 8.8 out of 10
Algolia
Algolia
Score 8.8 out of 10
Medium-sized Companies
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
Enterprises
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon CloudSearchApache Solr
Likelihood to Recommend
6.0
(2 ratings)
9.0
(10 ratings)
User Testimonials
Amazon CloudSearchApache Solr
Likelihood to Recommend
Amazon AWS
I would like to mentioned about the scenario where Amazon cloud search was well suited is when we need regular updation of data and the subject matter requires continuous alterations due to the continuous changing environment and talking abut the least appropriate would the times when their is high level of customisation requirements in the project.
Read full review
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.
Read full review
Pros
Amazon AWS
  • Really fast queries
  • Good Reporting
  • Reduce the cost of the server
Read full review
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.
Read full review
Cons
Amazon AWS
  • First thing I would like to mentioned about its indexing speed, I have noticed while working with large sums of data
  • Second I would like to mentioned about customisation challenge, although it is also its pros but a con as well, as it is a tedious task to customise when time value comes place as well.
  • Thirdly, I do feel that its advanced search queries could be more supported. I have seen some level of lagging when it comes to more advanced search queries given the size of data.
Read full review
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.
Read full review
Alternatives Considered
Amazon AWS
I didn't investigate the best alternatives to CloudSearch, but did help with implementing this feature in our application. But from what i tested and used - Cloudsearch is very fast to get queries. Some negative points can be the time to implement this and some configurations that can be tricky.
Read full review
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
Amazon AWS
  • It has directly or indirectly improved the operational effiecncy for sure.
  • Its limitations towards limited customisation requirements makes it a bit negative side of the scenario.
  • Its scalability of the growth offers seamless accommodation of large data sets which is a positive impact although.
Read full review
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.
Read full review
ScreenShots