We performed a comparison between Amazon Athena and Azure 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."Athena has a really good UI and is very compatible with on-prem products."
"You can perform SQL queries in S3 using Athena."
"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."
"It's easy to set up the product."
"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."
"The solution is very easy to use and integrations are very smooth."
"Offers a tremendous amount of flexibility and scalability when integrating with applications."
"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."
"The customer engagement was good."
"The amount of flexibility and agility is really assuring."
"Azure Search is well-documented, making it easy to understand and implement."
"The product is extremely configurable, allowing you to customize the search experience to suit your needs."
"The product is pretty resilient."
"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."
"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 would like to use Spark or Python-based queries in Athena."
"The solution should include a better API for query services."
"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 pricing is room for improvement."
"The after-hour services are slow."
"For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"Adding items to Azure Search using its .NET APIs sometimes throws exceptions."
"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 solution's stability could be better."
"The initial setup is not as easy as it should be."
Amazon Athena is ranked 4th in Search as a Service with 6 reviews while Azure Search is ranked 6th in Search as a Service with 8 reviews. Amazon Athena is rated 7.6, while Azure Search is rated 7.4. 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 Azure Search writes "Good performance for standard faceted search and full-text search". Amazon Athena is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Elastic Search and Solr, whereas Azure Search is most compared with Amazon Kendra, Elastic Search, Amazon AWS CloudSearch, Solr and Algolia. See our Amazon Athena vs. Azure 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.