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Athena

Athena
Launch Date: Jan. 30, 2026
Pricing: No Info
data analysis, AWS, SQL, serverless, business intelligence

Athena is a powerful tool that makes it easy to analyze data stored in Amazon S3. It uses standard SQL, so you can run queries without needing to manage any infrastructure. Athena is serverless, which means it scales automatically and runs queries in parallel. This makes it fast, even with large datasets and complex queries. It supports various data formats like CSV, JSON, ORC, Parquet, and Avro. Athena integrates seamlessly with other AWS services, such as Amazon QuickSight for visualization and Amazon Redshift for data warehousing. Its serverless architecture lets users focus on analyzing data without worrying about infrastructure management. Athena is particularly useful for ad-hoc querying, data exploration, and business intelligence applications. It integrates with AWS Glue Data Catalog, making it easy to discover and query data across multiple sources. Athena also supports partitioning and bucketing of data, which can improve query performance and reduce costs. Pricing is based on the amount of data scanned by each query, making it a cost-effective solution for analyzing large datasets. Overall, Athena is a valuable tool for data analysts, data scientists, and business intelligence professionals.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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