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."Document indexing, text-based search API, and Geospatial searches are all good features."
"It is remarkably efficient and beneficial."
"CDN service reduces latency when accessing our web application."
"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."
"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."
"The best feature is its scalability in that Cloud is always on the fly."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"The initial setup is straightforward."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"The product is pretty resilient."
"The customer engagement was good."
"The amount of flexibility and agility is really assuring."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The solution's initial setup is straightforward."
"Creates indexers to get data from different data sources."
"It provides good access capabilities to various platforms."
"The solution should improve the recovery aspects that it has on offer."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"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."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"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."
"A reboot should be enhanced."
"Security is a concern but they're working on it."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The solution's stability could be better."
"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 pricing is room for improvement."
"The initial setup is not as easy as it should be."
"The after-hour services are slow."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
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.