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Athena Vs Spectrum. 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. Both Athena and Redshift Spectrum are serverless. With Redshift Spectrum you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 data lake – without having to load or. One significant difference is that Spectrum requires Redshift which must be factored into your total cost.
Amazon Athena is a serverless query processing engine based on open source Presto. Athena in contrast is able to work with Redshift only through JDBC connectors. Redshift Spectrum runs in tandem with Amazon Redshift while Athena is a standalone query engine for querying data stored in Amazon S3. Spinning up Redshift clusters. 1972019 Athena is serverless similar to Lambda so it means that you dont have any infrastructure to spin up or manage for computing your queries. Athena allows writing interactive queries to.
Athena is dependent on the combined resources AWS provides to compute query results while resources at the disposal of Redshift Spectrum depend on your Redshift cluster size.
2172020 Spectrum is a feature of Redshift whereas Athena is a standalone service. Can I Use Both Amazon Athena and Redshift Spectrum. 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. In AWS there is a suite of tools that make analyzing and processing large amounts of data in the cloud faster including ways to optimize and integrate existing workflows with Amazon S3. Spectrum can directly join tables stored on Redshift. Being a part of the Redshift family Redshift Spectrum natively supports connection to Redshift clusters.