Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries.On the other hand, Amazon Redshift provides the following key features: Some of the features offered by Amazon RDS are: It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.Īmazon RDS can be classified as a tool in the "SQL Database as a Service" category, while Amazon Redshift is grouped under "Big Data as a Service". Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call Amazon Redshift: Fast, fully managed, petabyte-scale data warehouse service. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. Amazon RDS vs Amazon Redshift: What are the differences?Īmazon RDS: Set up, operate, and scale a relational database in the cloud.
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