Amazon AWS CloudSearch vs Amazon Athena comparison

Amazon Athena and Amazon AWS CloudSearch are both solutions in the Search as a Service category. Amazon Athena is ranked #6 with an average rating of 8.5, while Amazon AWS CloudSearch is ranked #9. Amazon Athena holds a 4.8% mindshare in SS, compared to Amazon AWS CloudSearch’s 5.3% mindshare. Additionally, 88% of Amazon Athena users are willing to recommend the solution, compared to 83% of Amazon AWS CloudSearch users who would recommend it.

Amazon Athena

Read 9 Amazon Athena reviews

923 Views
923 Comparison Views

88% willing to recommend

Amazon AWS CloudSearch

Read 12 Amazon AWS CloudSearch reviews

934 Views
934 Comparison Views

83% willing to recommend

Amazon Athena

Amazon AWS CloudSearch

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon AWS CloudSearch and Amazon Athena 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.

To learn more, read our detailed Amazon AWS CloudSearch vs. Amazon Athena Report (Updated: April 2026).

Buyer's Guide

Amazon AWS CloudSearch vs. Amazon Athena

April 2026

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Helped 893,221 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Athena

Ranking in Search as a Service

6th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Amazon AWS CloudSearch

Ranking in Search as a Service

9th

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Search as a Service category, the mindshare of Amazon Athena is 4.8%, down from 10.1% compared to the previous year. The mindshare of Amazon AWS CloudSearch is 5.3%, down from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Search as a Service Mindshare Distribution
Product	Mindshare (%)
Amazon Athena	4.8%
Amazon AWS CloudSearch	5.3%
Other	89.9%

Search as a Service

Featured Reviews

Ciro Baldim Guerra

Sr Analytics Engineer at Itau Unibanco S.A.

Have struggled with exporting complex data and have disabled code suggestions due to inefficiency

I think there is room for improvement in Amazon Athena, and the first thing I will put is the data output. I use Python to query in Amazon Athena, and it's very complex and difficult just to save Amazon Athena results as an Excel file. The only option is copying the data, but sometimes if it exceeds 100 lines, if you copy and paste in Excel, it's very bad. You can't copy above 100 lines. The other option is downloading a CSV file, but the CSV file is not UTF-8 Unicode. Here in Brazil, we speak Portuguese, and there are a lot of special characters in the words and even names, and everything gets garbled when you put it in a CSV. You have to decode, encode, and there are a lot of problems. It could easily save as an Excel file since there are a lot of engines to help with it, so an XLSX file extension could be this way. Another point I would mention is the word completion. When I'm coding and making statements and queries, Amazon Athena tries to help me write the code, and that's very problematic. Sometimes I'm using some tables that I use every day, and Amazon Athena doesn't get the tables I'm using and suggests very improbable data. I have access to more than 30 databases and hundreds of tables. So, I turn it off, I disable the word completion because when I'm coding, the word completion makes the coding slower. It's very difficult, and every time I have to press escape to skip the completion. It's very ineffective, so I disable it because in other applications it functions very well, such as VS Code.

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HarishMahanta

Sr PeopleSoft Consultant at People Tech

A reasonably priced solution that provides scalability, stability, reliability, and security

In terms of what needs improvement, I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds. Let's say we have various clouds in the market, like Google Cloud, Oracle Cloud, and AWS Cloud. However, security-wise, I don't think AWS is bad. It's good only, especially in comparison to Oracle Cloud, if you really use Oracle, while also considering the fact that PeopleSoft is an Oracle product. AWS is a separate cloud, and Oracle has its own cloud. If you are in a new PeopleSoft and Oracle and you are using a third-party cloud, it means it is not easy since we can't think it is easy. I mean, if you are using Oracle products and you are using Oracle Cloud, it will be easier for you. However, it has a cost in comparison to AWS. Oracle Cloud is too costly. According to region, we segregate because it depends on the organization's strength. Let's say your organization has 1,000 customers. In that case, on a daily basis, let's say one customer was released or discontinued using the product. Then, you have to remove the solution. However, if you use Oracle Cloud, that space will remain there. In the case of AWS, they will immediately cut down their space, meaning in terms of reuse ability, it will reduce the cost. In our case, AWS is the best in the market, actually. We have various clouds like Google Cloud and Microsoft Azure Cloud, the features of which are very different. There are a lot of features in AWS Cloud since I am not in the market providing service on the products. I am just using that tool to access our clients' database and deliver our day-to-day service. I interact with the clients regarding their issues, whatever they are facing. There is this one kind of interface we use to access things because they are in AWS Cloud. If your customer is in Oracle Cloud, then there will be a different approach to accessing it. In our case, we can use AWS or Oracle, so it doesn't matter to us.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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 works for scalability; I query data using tagged data that uses user usage of applications that contain very big data, millions and billions of lines, and it works very well."

"The solution is very easy to use and integrations are very smooth."

"The best feature of Amazon Athena is that we can use Glue to build the schema from the data and then we can query the data directly on S3."

"Amazon Athena works for scalability; I query data using tagged data that uses user usage of applications that contain very big data, millions and billions of lines, and it works very well."

"Amazon Athena is very stable. I never had any issues with it. The dashboarding tool is okay."

"Amazon Athena's ability to query structured and unstructured data has been beneficial."

"Athena is serverless, so we don’t have to provision or manage compute clusters, and we can simply point Athena at our data in S3 and run SQL queries immediately."

More Amazon Athena pros

"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."

"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."

"In our case, AWS is the best in the market, actually."

"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."

"There are plenty of services from the database, with many valuable features, good scalability and agility, okay pricing, good solution quality, strong optimization, and customization that can work with any other cloud platforms."

"The initial setup is straightforward."

"It's the best solution for any company; it has a hosting ERP system for any task, AWS is stable, more flexible with its elastic concept, and also very secure with many layers of hardware and software security."

More Amazon AWS CloudSearch pros

Cons

"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."

"Transaction support is one of the biggest missing features."

"I use Python to query in Amazon Athena, and it's very complex and difficult just to save Amazon Athena results as an Excel file."

"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."

"In terms of its integration capabilities, I would say it's not straightforward. It works, but it's a little bit tricky."

"The solution should include a better API for query services."

"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."

"You have to build out the metadata yourself because of the nature of the cloud."

"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."

"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."

"A reboot should be enhanced."

"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, which is quite boring because we may be setting up a marketing campaign which is related to the product's photo and we need to wait to start."

"Amazon AWS CloudSearch is highly stable. However, the speed depends on your internet connection."

"We'd like to see more database features."

"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."

More Amazon AWS CloudSearch cons

Pricing and Cost Advice

"The solution operates on a serverless model so you only pay for data that you consume."

"I am happy with what they are charging and how they charge it, especially because they charge you per query, and not per series."

"It doesn't cost much if you are already part of the AWS ecosystem."

"Athena is very inexpensive for being a cloud tool."

"Our license costs around $4,000 per month."

"In comparison to IBM and Microsoft, the pricing is more favorable."

"I'm not sure how much we pay a year. It might be around $30,000 a year."

"Amazon AWS CloudSearch charging is based on how many resources you consume or and the solution is known to be a bit expensive."

"We chose AWS because of its cost and stability."

"There was no license needed to use this solution."

"On a scale of one to ten, where one point is cheap, and ten points are expensive, I rate the pricing as medium or reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

12%

Computer Software Company

10%

Outsourcing Company

Comms Service Provider

10%

Manufacturing Company

10%

Financial Services Firm

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	3
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	6

Questions from the Community

What needs improvement with Amazon Athena?

I don't have any specific answer on how Amazon Athena can be improved. This integration is more on the Glue side rather than on Amazon Athena, I would guess. Nothing comes to my mind here. In terms...

See all answers

What is your primary use case for Amazon Athena?

The typical use case for Amazon Athena is that we have data in a data lake, and if we need to query the data from the data lake, we use Amazon Athena before it gets to the data warehouse where we w...

See all answers

What advice do you have for others considering Amazon Athena?

I have experience of integration of Amazon Athena with AWS Glue. I think the pricing of Amazon Athena is quite reasonable as we use it in pay-as-you-go mode. On a scale from one to ten, I rate Amaz...

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Comparisons

Amazon OpenSearch Service vs Amazon Athena

Compared 36% of the time

Amazon Kendra vs Amazon Athena

Compared 22% of the time

Elastic Search vs Amazon Athena

Compared 15% of the time

Azure AI Search vs Amazon Athena

Compared 9% of the time

More Amazon Athena Competitors

Amazon OpenSearch Service vs Amazon AWS CloudSearch

Compared 20% of the time

Elastic Search vs Amazon AWS CloudSearch

Compared 19% of the time

Algolia vs Amazon AWS CloudSearch

Compared 15% of the time

Azure AI Search vs Amazon AWS CloudSearch

Compared 14% of the time

More Amazon AWS CloudSearch Competitors

Product Reports

Buyer's Guide

Amazon Athena

May 2026

Download Amazon Athena product report

Buyer's Guide

Amazon AWS CloudSearch

May 2026

Download Amazon AWS CloudSearch product report

Overview

Amazon Athena is a serverless, interactive query service for analyzing data in Amazon S3 using SQL. It efficiently supports data lake architectures and offers features for diverse data formats without needing extensive infrastructure. Athena's integration with AWS Glue enhances schema management.

Amazon Athena leverages a serverless architecture to provide scalable, cost-effective query capabilities for large datasets stored in Amazon S3. With native support for Parquet and Avro, it efficiently manages both structured and unstructured data. Its federated query functionality allows access to varied data sources, while database partitioning optimizes performance and cost. Integration with AWS Glue simplifies schema building and streamlines data querying, although it faces challenges with ease of use, transaction support, and third-party integrations. Performance optimization is needed for complex queries and handling large datasets, while API capabilities and scheduling features could be improved. Users benefit from cost-saving efficiencies in data processing and the ability to extract quick insights through SQL queries, fostering more agile data-driven decisions.

What are the most important features of Amazon Athena?

Database Partitioning: Enhances query performance and reduces data retrieval costs.
Federated Queries: Accesses data across multiple sources seamlessly.
Supports Diverse Formats: Handles data in Parquet, Avro, and more.
Serverless Architecture: Offers automatic scaling for fluctuating workloads.
Glue Integration: Simplifies schema management and data organization.
Columnar Storage Optimization: Speeds up query processing and lowers costs.
Data Quality Identification: Detects inconsistencies and errors proactively.

What benefits and ROI should be expected from Amazon Athena?

Scalability: Automatically adjusts to processing demands, eliminating the need for infrastructure management.
Cost Efficiency: Only pay for queries run, making it budget-friendly for varying workloads.
Quick Insights: Facilitates swift SQL-based analysis, improving decision-making timelines.
Comprehensive Data Handling: Manages both structured and unstructured data seamlessly.
Enhanced Query Performance: Utilizes partitioning and columnar storage for optimized speed and cost.

In sectors such as finance, retail, and technology, Amazon Athena is utilized for data lake management where voluminous structured and unstructured data exists. Businesses create dashboards, automate workflows, and execute ad-hoc analyses efficiently. Its integration with Lake Formation and Glue supports complex industry-specific data tasks, ensuring streamlined data operations.

Amazon Web Services (AWS)

Amazon AWS CloudSearch provides scalable, agile, and stable performance for organizations needing fast data access and ease of deployment through its text-based search API and geospatial searches.

Amazon AWS CloudSearch is a comprehensive search solution designed to meet the needs of modern applications with features like document indexing and language support. It eliminates the need for physical infrastructure, offering high CPU and memory performance under load. With strong security and straightforward setup, it accommodates diverse data needs including cloud backups, server migration, and database analytics. Users benefit from reliable performance and cost-effective scalability, even though some enhancements are sought in cost competitiveness, documentation, and support. E-commerce platforms, cloud applications, and businesses migrating from on-premise setups find value in AWS CloudSearch, though improved monitoring and better integration options remain areas of focus.

What are the most important features of Amazon AWS CloudSearch?

Scalability: Offers seamless growth without infrastructure concerns.
Text-Based Search API: Provides efficient and accurate data retrieval.
Geospatial Searches: Enhances search capabilities with location-based data.
Document Indexing: Facilitates quick and organized data access.
Language Support: Accommodates multiple language requirements in searching.

What benefits should users look for in reviews?

Ease of Deployment: Simplifies setup and reduces technical barriers.
Cost Efficiency: Offers competitive pricing without compromising performance.
High Performance: Maintains robust performance under significant load.
Security: Prioritizes data protection with strong security measures.
Flexibility: Supports diverse needs like server migration and cloud backups.

Industries leverage Amazon AWS CloudSearch for applications such as hosting e-commerce platforms where quick photo load times are critical, managing databases for enhanced cloud stability, and utilizing autocomplete or custom-managed services. Many have transitioned from on-premise setups to benefit from improved memory capabilities and reliable database hosting in the cloud.

Amazon Web Services (AWS)

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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Buyer's Guide

Amazon AWS CloudSearch vs. Amazon Athena

April 2026

Free Report: Amazon AWS CloudSearch vs. Amazon Athena

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