We performed a comparison between Azure Search 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."Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"The search functionality time has been reduced to a few milliseconds."
"The customer engagement was good."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The product is pretty resilient."
"The amount of flexibility and agility is really assuring."
"Creates indexers to get data from different data sources."
"Azure Search is well-documented, making it easy to understand and implement."
"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."
"It has improved our search ranking, relevancy, search performance, and user retention."
"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 solution's stability could be better."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"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."
"The initial setup is not as easy as it should be."
"The pricing is room for improvement."
"The after-hour services are slow."
"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."
"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."
"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 and Amazon AWS CloudSearch, whereas Solr is most compared with Amazon AWS CloudSearch, Amazon Kendra, Elastic Search and Algolia. See our Azure Search vs. Solr report.
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.
