We performed a comparison between Amazon AWS CloudSearch and Azure Search 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."The initial setup is straightforward."
"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 will remain alive in the market. The solution will be stable in the market."
"The quality of the solution is good."
"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."
"I've found the solution to be very scalable."
"The most valuable feature of Amazon AWS CloudSearch is the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"The amount of flexibility and agility is really assuring."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The search functionality time has been reduced to a few milliseconds."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The product is pretty resilient."
"Creates indexers to get data from different data sources."
"Azure Search is well-documented, making it easy to understand and implement."
"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."
"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."
"I do not have any suggestions for improvements at this time."
"The price of the solution can be expensive."
"Security is a concern but they're working on it."
"Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"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."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The solution's stability could be better."
"The initial setup is not as easy as it should be."
"The pricing is room for improvement."
"The after-hour services are slow."
"It would be good if the site found a better way to filter things based on subscription."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
Amazon AWS CloudSearch is ranked 5th in Search as a Service with 12 reviews while Azure Search is ranked 6th in Search as a Service with 8 reviews. Amazon AWS CloudSearch is rated 8.4, while Azure Search is rated 7.4. 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 Azure Search writes "Good performance for standard faceted search and full-text search". Amazon AWS CloudSearch is most compared with Solr, Amazon Kendra, Algolia, Amazon Athena and Amazon Elasticsearch Service, whereas Azure Search is most compared with Amazon Kendra, Elastic Search, Amazon Athena, Algolia and Solr. See our Amazon AWS CloudSearch vs. Azure Search 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.