We performed a comparison between Azure Search 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."Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"It provides good access capabilities to various platforms."
"The solution's initial setup is straightforward."
"Azure Search is well-documented, making it easy to understand and implement."
"The product is pretty resilient."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"Creates indexers to get data from different data sources."
"The search functionality time has been reduced to a few milliseconds."
"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."
"For SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The solution's stability could be better."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"The initial setup is not as easy as it should be."
"It would be good if the site found a better way to filter things based on subscription."
"The after-hour services are slow."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"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."
"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."
"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."
"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement."
Earn 20 points
Azure Search is ranked 6th in Search as a Service with 8 reviews while Solr is ranked 8th in Search as a Service. Azure Search is rated 7.4, while Solr is rated 7.8. The top reviewer of Azure Search writes "Good performance for standard faceted search and full-text search". On the other hand, the top reviewer of Solr writes "Good indexing and decent stability, but requires more documentation". Azure Search is most compared with Amazon Kendra, Elastic Search, Amazon Athena, Amazon AWS CloudSearch and Algolia, whereas Solr is most compared with Amazon AWS CloudSearch, Amazon Kendra, Elastic Search and Algolia.
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.