We performed a comparison between Amazon Elasticsearch Service 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."It's a good log management platform. In terms of infrastructure management, it's good."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"The stability of the product is good."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The initial set up is very easy...We really appreciate Amazon!"
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"The amount of flexibility and agility is really assuring."
"Creates indexers to get data from different data sources."
"The customer engagement was good."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"It provides good access capabilities to various platforms."
"The solution's 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 extremely configurable, allowing you to customize the search experience to suit your needs."
"The configuration should be more straightforward because we had to select a lot of things."
"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"The pricing is room for improvement."
"The solution's stability could be better."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"It would be good if the site found a better way to filter things based on subscription."
"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 initial setup is not as easy as it should be."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews while Azure Search is ranked 6th in Search as a Service with 8 reviews. Amazon Elasticsearch Service is rated 8.2, while Azure Search is rated 7.4. The top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". On the other hand, the top reviewer of Azure Search writes "Good performance for standard faceted search and full-text search". Amazon Elasticsearch Service is most compared with Amazon Athena, Amazon Kendra, Elastic Search and Amazon AWS CloudSearch, whereas Azure Search is most compared with Amazon Kendra, Elastic Search, Amazon Athena, Amazon AWS CloudSearch and Solr. See our Amazon Elasticsearch Service 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.
