We performed a comparison between Amazon Athena and Elastic 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 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."
"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"You can perform SQL queries in S3 using Athena."
"Athena has a really good UI and is very compatible with on-prem products."
"The solution has good security features. I have been happy with the dashboards and interface."
"The solution offers good stability."
"The most valuable feature of the solution is its utility and usefulness."
"The tool's stability and performance are good."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"The initial installation and setup were straightforward."
"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."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"The solution should include a better API for query services."
"I would like to use Spark or Python-based queries in Athena."
"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."
"You have to build out the metadata yourself because of the nature of the cloud."
"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."
"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."
"The solution must provide AI integrations."
"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."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"The metadata gets stored along with indexes and isn't queryable."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"Could have more open source tools and testing."
Amazon Athena is ranked 4th in Search as a Service with 6 reviews while Elastic Search is ranked 1st in Search as a Service with 59 reviews. Amazon Athena is rated 7.6, while Elastic Search 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Amazon Athena is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Azure Search and Solr, whereas Elastic Search is most compared with Faiss, Milvus, Azure Search and Pinecone. See our Amazon Athena vs. Elastic 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.