We performed a comparison between Amazon Elasticsearch Service, 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 initial set up is very easy...We really appreciate Amazon!"
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"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."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"It's a good log management platform. In terms of infrastructure management, it's good."
"Azure Search is well-documented, making it easy to understand and implement."
"It provides good access capabilities to various platforms."
"The search functionality time has been reduced to a few milliseconds."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"The amount of flexibility and agility is really assuring."
"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."
"X-Pack provides good features, like authorization and alerts."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"Search is really powerful."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"The product is scalable with good performance."
"Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"It is stable."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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."
"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 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."
"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."
"The after-hour services are slow."
"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."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The pricing is room for improvement."
"The solution's stability could be better."
"It would be good if the site found a better way to filter things based on subscription."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"Technical support should be faster."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"We have an issue with the volume of data that we can handle."
"The documentation regarding customization could be better."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."