![]() With DynamoDB you would have the scalability of NoSQL. Scalability: Redshift scales with clusters, Postgres requires data copying for scaling. I know DynamoDB is NoSQL while RDS is relational (SQL) It seems like all the functions you would want out of RDS (relations thought you have to do more loads) you could do with DynamoDB. Cost: Postgres is free, Redshift is a paid service with flexible pricing options. ![]() However, AWS Redshift has a pay-as-you-go pricing model that allows users to save money when the cluster is idle. Postgres: Data Storage: Postgres uses row-ordered tables, while Redshift is columnar and suited for analytics. AWS Redshift, allows you to create a small cluster as small at 0.25 per hour and scale up to petabytes of data and thousands of concurrent users. ![]() Note: ensure to redact or obfuscate all confidential or identifying information (eg. Here are some key differences between Redshift vs. News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, AWS-CDK, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more.
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