We performed a comparison between Amazon AWS CloudSearch and Solr based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service."I've found the solution to be very scalable."
"The best feature is its scalability in that Cloud is always on the fly."
"The quality of the solution is good."
"It is remarkably efficient and beneficial."
"The most valuable feature of Amazon AWS CloudSearch is its ability to receive data quickly. You can access your data easily in a short time."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"It will remain alive in the market. The solution will be stable in the market."
"It's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue."
"One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great."
"It has improved our search ranking, relevancy, search performance, and user retention."
"The most valuable feature is the ability to perform a natural language search."
"​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features."
"The solution should improve the recovery aspects that it has on offer."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime."
"A reboot should be enhanced."
"Security is a concern but they're working on it."
"Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations."
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory."
"We'd like to see more database features."
"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement."
"With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated."
"It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting."
"Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching."
"The performance for this solution, in terms of queries, could be improved."
Earn 20 points
Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews while Solr is ranked 8th in Search as a Service. Amazon AWS CloudSearch is rated 8.4, while Solr is rated 7.8. The top reviewer of Amazon AWS CloudSearch writes "A reasonably priced solution that provides scalability, stability, reliability, and security". On the other hand, the top reviewer of Solr writes "Good indexing and decent stability, but requires more documentation". Amazon AWS CloudSearch is most compared with Amazon Kendra, Algolia, Amazon Athena, Elastic Search and Azure Search, whereas Solr is most compared with Amazon Kendra, Elastic Search, Azure Search, Algolia and Amazon Athena.
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We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
