We performed a comparison between Amazon AWS CloudSearch, Amazon Elasticsearch Service, and Azure Search 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."It is remarkably efficient and beneficial."
"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."
"I've found the solution to be very scalable."
"The initial setup is straightforward."
"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."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"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 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."
"It's a good log management platform. In terms of infrastructure management, it's good."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The stability of the product is good."
"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 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 initial set up is very easy...We really appreciate Amazon!"
"Creates indexers to get data from different data sources."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"Azure Search is well-documented, making it easy to understand and implement."
"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."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The amount of flexibility and agility is really assuring."
"The search functionality time has been reduced to a few milliseconds."
"A reboot should be enhanced."
"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."
"Security is a concern but they're working on it."
"I do not have any suggestions for improvements at this time."
"AWS CloudSearch's documentation isn't very clear. Also, the on-premise version of the solution is less stable than the cloud version."
"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."
"We'd like to see more database features."
"The solution should improve the recovery aspects that it has on offer."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"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."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"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."
"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."
"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."
