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I am kind of evaluating Athena & Redshift Spectrum. Both serve the same purpose, Spectrum needs a Redshift cluster in place whereas Athena is pure serverless. Athena uses Presto and Spectrum uses its Redshift's engine
Are there any specific disadvantages for Athena or Redshift spectrum? Any limitations on using Athena or Spectrum ?
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Query performanceRedshift Spectrum may provide a more stable querying experience than Athena. This is because Redshift Spectrum compute engine distributes queries across thousands of nodes, leading to a fast performance that is not derailed even by lots of parallel queries and high concurrency.
While both Spectrum and Athena are serverless, they differ in that Athena relies on pooled resources provided by AWS to return query results, whereas Spectrum resources are allocated according to your Redshift cluster size. This means that using Redshift Spectrum gives you more control over performance.
Athena has an edge in terms of portability and cost, whereas Redshift stands tall in terms of performance and scale. On the other hand, Redshift is a petabyte-scale data warehouse used together with business intelligence tools for modern analytical solutions.
redshift supports automated tasks for configuring, monitoring, backing up, and securing the data warehouse. Redshift Spectrum is the ability to perform analytics directly on the data in the Amazon s3 cluster using a Redshift node.
I have used both across a few different use cases and conclude:
Advantages of Redshift Spectrum:
If you do not need those things then you should consider Athena as well
Athena differences from Redshift spectrum:
Also, for either solution, make sure you use the AWS Glue metadata, rather than Athena as there are fewer limitations.
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