Disadvantages of AWS Athena
The following are the disadvantages of AWS Athena:
- Restricted query performance: The volume of data scanned and the intricacy of the query can limit Athena’s speed, resulting in lengthier query times.
- No real-time querying: Because Athena is intended for batch processing, it may not be ideal for real-time querying.
- Limited data types: In comparison to other database systems, Athena only supports a restricted selection of data types.
Guide to AWS Athena: Create, Manage, and Optimize Costs
AWS Athena is a powerful serverless query service provided by AWS for analyzing the data directly in Amazon S3 using standard SQL. It facilitates features like high scalability, cost-effectiveness, easy-to-use platform for running complex queries without the need for extensive infrastructure setup. In this article we will discuss on what is aws athena, its archtiecture, benefits, limitations, advantages, disadvantages and how it difference from Amazon Redshift, Amazon Glue and Microsoft SQL server effectively.
Table of Content
- What is AWS Athena?
- AWS Athena Architecture
- How to Setup AWS Athena? A Step-By-Step Guide
- How to Setup AWS Athena Using AWS CloudFormation Templates? A Step-By-Step Guide
- How to Run Amazon Athena Queries?
- How to Report Data to Other Resources?
- What are the benefits of using Amazon Athena?
- What are some Amazon Athena Limitations?
- Features of AWS Athena
- Advantages of AWS Athena
- Disadvantages of AWS Athena
- Amazon Athena Pricing: How Much Does Athena Cost?
- How Does Amazon Athena compares to AWS Redshift, Microsoft SQL Server and AWS Glue?
- How to Optimize AWS Athena Costs Quickly and Accurately?
- Use Cases of AWS Athena
- Conclusion
- AWS Athena Costs – FAQs