We compared Amazon Elasticsearch Service and Amazon Athena based on our user's reviews in several parameters.
The Amazon Elasticsearch Service is praised for its ease of use, scalability, and advanced search functionalities, while users appreciate the reliable performance and seamless integration with other AWS tools. In contrast, Amazon Athena stands out for its simplicity, efficiency in querying data directly from S3, and cost-effective pricing structure. Areas for improvement in both services include documentation, query optimization, and query performance for Amazon Elasticsearch Service, and better user interface and support resources for Amazon Athena.
Features: Amazon Elasticsearch Service is valued for its scalability, powerful analytics, and integration with other AWS tools. On the other hand, Amazon Athena stands out for its simplicity, direct querying from S3, and cost-effective serverless nature.
Pricing and ROI: The setup cost for Amazon Elasticsearch Service is reasonable and flexible, with a straightforward and intuitive setup process. Users find the licensing transparent and easily understood. On the other hand, Amazon Athena has minimal setup cost as a managed service that eliminates the need for infrastructure provisioning. Users appreciate its flexible pricing structure, where they only pay for the queries they run. The pay-as-you-go licensing model eliminates upfront licensing fees., The ROI from Amazon Elasticsearch Service was significant, greatly increasing profitability. However, the ROI from Amazon Athena varied based on user feedback and individual use cases.
Room for Improvement: While the Amazon Elasticsearch Service could benefit from improvements in documentation, query optimization, data visualization, and monitoring capabilities, Amazon Athena users are looking for faster response times, a more intuitive user interface, and better documentation and support resources to enhance usability and efficiency.
Deployment and customer support: The reviews for Amazon Elasticsearch Service indicate that the time required for deployment and setup varied among users, ranging from one week to three months. In contrast, the reviews for Amazon Athena show that the duration for establishing the solution differed greatly for different users, with some finding it quick and straightforward, while others experienced a longer deployment and setup process., Amazon Elasticsearch Service has received positive feedback for its customer service, with users appreciating the prompt assistance and knowledgeable staff. Similarly, Amazon Athena's customer service has been praised for its responsiveness and efficiency in addressing queries and concerns.
The summary above is based on 10 interviews we conducted recently with Amazon Elasticsearch Service and Amazon Athena users. To access the review's full transcripts, download our report.
"It's easy to set up the product."
"The solution is very easy to use and integrations are very smooth."
"One of the most valuable features is the ability to partition your databases. I also like the federal query functionality, for cases when you have to query outside your S3 storage, or even completely outside of the AWS platform."
"You can perform SQL queries in S3 using Athena."
"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"Athena has a really good UI and is very compatible with on-prem products."
"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."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The stability of the product is 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 initial set up is very easy...We really appreciate Amazon!"
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"One improvement I can suggest is that Athena needs to work better with third-parties. For example, the process of querying a Microsoft SQL warehouse could be improved."
"I think it would be better if the product were more mature. It's still a young product compared to Power BI or Qlik. I find that development is a bit difficult, but it might be because I'm used to other tools. The dashboarding capabilities could be better. The reporting and statement generation could be better. I couldn't technically initiate picture-perfect reporting, for example, to send out statements every month for banking customers."
"You have to build out the metadata yourself because of the nature of the cloud."
"The solution should include a better API for query services."
"I would like to use Spark or Python-based queries in Athena."
"If you compare it with Palantir, if you have some data and you want to quickly have a look at it, then that feature is not available in Amazon Cloud."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"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."
"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."
Amazon Athena is ranked 4th in Search as a Service with 6 reviews while Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews. Amazon Athena is rated 7.6, while Amazon Elasticsearch Service is rated 8.2. The top reviewer of Amazon Athena writes "A great AWS application that is easy to set up and simple to expand". On the other hand, the top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". Amazon Athena is most compared with Amazon AWS CloudSearch, Azure Search, Elastic Search and Solr, whereas Amazon Elasticsearch Service is most compared with Amazon Kendra, Elastic Search and Amazon AWS CloudSearch. See our Amazon Athena vs. Amazon Elasticsearch Service report.
See our list of best Search as a Service vendors.
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