We performed a comparison between Amazon AWS CloudSearch, Azure Search, and Elastic Search based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service."The quality of the solution is good."
"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."
"The initial setup is straightforward."
"AWS CloudSearch's best features are good performance under high CPU and memory use, and ease of deployment and scaling."
"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."
"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."
"Creates indexers to get data from different data sources."
"The product is pretty resilient."
"Azure Search is well-documented, making it easy to understand and implement."
"The amount of flexibility and agility is really assuring."
"The customer engagement was good."
"The solution's initial setup is straightforward."
"It provides good access capabilities to various platforms."
"Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency."
"The solution is stable and reliable."
"The most valuable feature of the solution is its utility and usefulness."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"The most valuable features are the ease and speed of the setup."
"Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10."
"Search is really powerful."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"The solution is quite scalable and this is one of its advantages."
"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."
"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."
"Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime."
"I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"A reboot should be enhanced."
"We'd like to see more database features."
"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."
"The solution's stability could be better."
"The initial setup is not as easy as it should be."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"The pricing is room for 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 after-hour services are slow."
"It would be good if the site found a better way to filter things based on subscription."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"Elastic Search needs to improve its technical support. It should be customer-friendly and have good support."
"They could improve some of the platform's infrastructure management capabilities."
"There are some features lacking in ELK Elasticsearch."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."