Amazon RDS for PostgreSQL vs Amazon Redshift: What are the differences?
What is Amazon RDS for PostgreSQL? * Set up, operate, and scale PostgreSQL deployments in the cloud*. Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.
What is Amazon Redshift? Fast, fully managed, petabyte-scale data warehouse service. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. 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.
Amazon RDS for PostgreSQL can be classified as a tool in the "PostgreSQL as a Service" category, while Amazon Redshift is grouped under "Big Data as a Service".
Some of the features offered by Amazon RDS for PostgreSQL are:
- Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.
- DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.
- Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.
On the other hand, Amazon Redshift provides the following key features:
- Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.
- Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.
- No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.
"Easy setup, backup, monitoring" is the primary reason why developers consider Amazon RDS for PostgreSQL over the competitors, whereas "Data Warehousing" was stated as the key factor in picking Amazon Redshift.
Lyft, Coursera, and 9GAG are some of the popular companies that use Amazon Redshift, whereas Amazon RDS for PostgreSQL is used by Netflix, Instacart, and Product Hunt. Amazon Redshift has a broader approval, being mentioned in 269 company stacks & 67 developers stacks; compared to Amazon RDS for PostgreSQL, which is listed in 167 company stacks and 29 developer stacks.
What is Amazon RDS for PostgreSQL?
What is Amazon Redshift?
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