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.



| Product | Mindshare (%) |
|---|---|
| Amazon Athena | 4.8% |
| Elastic Search | 17.6% |
| Xapien | 12.7% |
| Other | 64.9% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Search as a Service | May 9, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 9, 2026 | Download |
| Comparison | Amazon Athena vs Elastic Search | May 9, 2026 | Download |
| Comparison | Amazon Athena vs Algolia | May 9, 2026 | Download |
| Comparison | Amazon Athena vs Amazon OpenSearch Service | May 9, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Elastic Search | 4.1 | 17.6% | 98% | 96 interviewsAdd to research |
| Amazon OpenSearch Service | 3.8 | 11.3% | 92% | 13 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 16 |
| Large Enterprise | 75 |
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?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.
| Author info | Rating | Review Summary |
|---|---|---|
| Sr Analytics Engineer at Itau Unibanco S.A. | 5.0 | I use Amazon Athena daily for data analysis, finding it very stable, scalable, and easy to use. While it's fast, I wish for better data output options like Excel and improved, less problematic word completion. |
| Data Engineer at ZiMetrics | 4.5 | We use Athena for serverless querying of our S3 data lake, leveraging Glue and Lake Formation to reduce pre-processing. While it's cost-effective for ad-hoc queries, complex transformations, large joins, and managing cost/concurrency remain challenges. |
| Solutions Architect & PMO at AS TV Play Baltics/TV3 Group | 3.5 | I use Amazon Athena to query S3 data via Glue schemas, finding it stable, scalable, and reasonably priced. Setup is straightforward, but integration can be tricky. Overall, I rate it a seven. |
| Founder & CTO at QuriousBit | 4.0 | I appreciate Amazon Athena's serverless, cost-effective data lake querying for structured/unstructured data, especially for startups. However, its lack of transaction support, difficult ETL, unified access management, and insufficient query optimization resources are significant drawbacks. |
| Data Architect at a real estate/law firm with 1,001-5,000 employees | 3.5 | I used Amazon Athena to load relational databases and transition from Hadoop, appreciating its UI and compatibility with on-premises products. However, a drawback is having to build the metadata ourselves due to its cloud-based nature. |
| Senior Software Engineer at Tiger Analytics | 3.5 | Amazon Athena, part of AWS, works well with Glue for querying data, providing easy scalability and stable performance. However, it lacks the simplicity of Palantir as it requires multiple steps to upload and query data, unlike a straightforward drag-and-drop approach. |
| Head of Data Practice at a tech consulting company with 201-500 employees | 2.5 | I use Amazon Athena for dashboarding and reporting. It's very stable, but it feels less mature compared to Power BI or Qlik. Dashboard and reporting capabilities could improve, especially in generating statement reports. Overall, development is challenging. |
| Software Developer at a tech services company with 51-200 employees | 4.5 | I have been using Amazon Athena to query data across AWS, particularly from Redshift and S3. I value its partitioning, federated queries, and metastore features, though improvements are needed for third-party integrations. Current projects are personal, not monetized yet. |