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11. Database and Analytics
Database Kinds
Operational DBs
Analytical DBs
Other Databases and Analytics Services
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Amazon Athena
Athena vs Redshift Spectrum
Amazon Athena
Service Type:
Serverless, interactive query service.
Setup and Management:
Completely serverless, no infrastructure to manage.
Performance Tuning:
Automatic, with no need for manual tuning or cluster management.
Use Case:
Ideal for ad-hoc queries and quick insights on data stored in S3.
Best for scenarios where you need to run queries without maintaining a long-running data warehouse.
Integration:
Integrates directly with AWS Glue Data Catalog for schema management.
Cost:
Charged per query based on the amount of data scanned.
Scenarios:
Analyzing log files, CSV, JSON, Parquet, ORC files stored in S3.
Running interactive, ad-hoc SQL queries on S3 data without complex setup.
Amazon Redshift Spectrum
Service Type:
Extension of Amazon Redshift.
Setup and Management:
Requires an Amazon Redshift cluster; queries offload to S3 using the Redshift SQL engine.
Performance Tuning:
Leverages Redshift's optimization features; requires some management of the Redshift cluster.
Use Case:
Ideal for complex queries that may combine structured data in Amazon Redshift with semi-structured data in S3.
Best for extending the storage of a Redshift data warehouse without moving the data.
Integration:
Integrates with Redshift and uses Redshift’s SQL capabilities and optimization.
Cost:
Charged based on the amount of data scanned in S3 plus the cost of maintaining the Redshift cluster.
Scenarios:
Running queries that join data in Amazon Redshift with data in S3.
Scaling out a Redshift data warehouse by offloading infrequently accessed data to S3 and querying it as needed.
Key Differences
Service Type:
Athena:
Fully serverless query service.
Redshift Spectrum:
Extension of Amazon Redshift for querying S3 data.
Management:
Athena:
No infrastructure to manage, purely serverless.
Redshift Spectrum:
Requires managing a Redshift cluster.
Performance Tuning:
Athena:
Automatic performance tuning.
Redshift Spectrum:
Utilizes Redshift’s optimization and may require manual tuning.
Use Case:
Athena:
Ad-hoc querying and quick insights on S3 data.
Redshift Spectrum:
Extending Redshift queries to include S3 data, suitable for integrating structured and semi-structured data.
Cost Model:
Athena:
Pay per query based on data scanned.
Redshift Spectrum:
Pay per data scanned in S3 plus Redshift cluster costs.
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