Design of an ETL storage performance impact and usage of RDS vs S3?





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We are deigning an storage layer for some of the ETLs we run but we would like to take decision on whether it's better to push the final results of ETLs/Calculation to AWS RDS or S3.



For the overall design RDS can provide faster access to data but for large scale no idea it will be sufficient in terms of read access. However S3 can be well suited for bigger size of objects but for small datasets that can lead to an efficiency of reading comparing to RDS. If we wanna draw a line between RDS and S3 as usage, which requirements we need to account for in order to choose when to push to RDS vs S3






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    We are deigning an storage layer for some of the ETLs we run but we would like to take decision on whether it's better to push the final results of ETLs/Calculation to AWS RDS or S3.



    For the overall design RDS can provide faster access to data but for large scale no idea it will be sufficient in terms of read access. However S3 can be well suited for bigger size of objects but for small datasets that can lead to an efficiency of reading comparing to RDS. If we wanna draw a line between RDS and S3 as usage, which requirements we need to account for in order to choose when to push to RDS vs S3






    amazon-s3 etl rds







    share|improve this question

























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      We are deigning an storage layer for some of the ETLs we run but we would like to take decision on whether it's better to push the final results of ETLs/Calculation to AWS RDS or S3.



      For the overall design RDS can provide faster access to data but for large scale no idea it will be sufficient in terms of read access. However S3 can be well suited for bigger size of objects but for small datasets that can lead to an efficiency of reading comparing to RDS. If we wanna draw a line between RDS and S3 as usage, which requirements we need to account for in order to choose when to push to RDS vs S3






      amazon-s3 etl rds







      share|improve this question














      We are deigning an storage layer for some of the ETLs we run but we would like to take decision on whether it's better to push the final results of ETLs/Calculation to AWS RDS or S3.



      For the overall design RDS can provide faster access to data but for large scale no idea it will be sufficient in terms of read access. However S3 can be well suited for bigger size of objects but for small datasets that can lead to an efficiency of reading comparing to RDS. If we wanna draw a line between RDS and S3 as usage, which requirements we need to account for in order to choose when to push to RDS vs S3






      amazon-s3 etl rds




      amazon-s3 etl rds






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      asked Jan 3 at 14:38









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