We performed a comparison between Amazon AWS CloudSearch and Solr based on real PeerSpot user reviews.
Find out in this report how the two Search as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I've found the solution to be very scalable."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"It will remain alive in the market. The solution will be stable in the market."
"The quality of the solution is good."
"The best feature is its scalability in that Cloud is always on the fly."
"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."
"It is remarkably efficient and beneficial."
"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."
"The most valuable feature is the ability to perform a natural language search."
"It has improved our search ranking, relevancy, search performance, and user retention."
"​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features."
"I do not have any suggestions for improvements at this time."
"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."
"Security is a concern but they're working on it."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"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."
"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."
"We'd like to see more database features."
"The solution should improve the recovery aspects that it has on offer."
"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."
"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."
"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement."
"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."
"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 and Algolia. See our Amazon AWS CloudSearch vs. Solr report.
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