Anonymous UserSenior Search Engineer at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Provides flexibility to tune the relevance and ranking of results."
"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."
"The time it takes for indexing documents could be reduced."
"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."
"The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
Amazon Kendra is ranked 5th in Search as a Service with 1 review while Solr is ranked 6th in Search as a Service with 2 reviews. Amazon Kendra is rated 7.0, while Solr is rated 7.6. The top reviewer of Amazon Kendra writes "Tunes the relevance and ranking of results which improves accuracy; price is very high". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". Amazon Kendra is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Azure Search and Algolia, whereas Solr is most compared with Azure Search, ELK Elasticsearch, Amazon AWS CloudSearch, Algolia and Amazon Athena.
See our list of best Search as a Service vendors.
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.