DZone
dzone.com › data engineering › databases › rds, redshift, dynamodb, and aurora – how do they compare?
RDS, Redshift, DynamoDB, and Aurora – How Do They Compare?
April 3, 2020 - Further, Aurora has significantly higher performance stats compared to MySQL and PostgreSQL run on RDS. Aurora is also an enterprise solution, even when used with RDS. RDS – Because RDS is less complex, it’s easier to scale – requiring ...
Reddit
reddit.com › r/aws › deciding between rds and redshift for "data warehouse"
r/aws on Reddit: Deciding between RDS and Redshift for "data warehouse"
January 27, 2023 -
Hi all,
I have a business request to ETL data from several sources into a data warehouse to run BI tools on (Tableau or PowerBI for example).
The dataset isn't that big, 400GB growing 4GB per week. I can't find any good explanation on if I should use RDS or Redshift to store the data.
Can anyone with experience on this topic guide me please?
Thank you!
Top answer 1 of 2
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You can go for Aurora first then migrate to redshift when your data gets around 5Tb or so, that’s my estimate in which the query starts to get slow in a rds and dwh will be much faster
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RDS stores rows of data near each other, ideal for transactional processing, whereas Redshift (and many other data warehouses) uses a columnar storage where columns of data are stored near each other - ideal in terms of performance for read-only reporting queries that BI tools will be using. So I think you might need to establish whether the queries your BI tool will be using will always be over indexed columns if you want to store it in RDS, or whether you need to be flexible in which columns will be used in the where clause of the queries your BI tool with run, (potentially over unindexed columns if you were to store it in RDS, in which case a data warehouse will be more performant). So - it depends on what your performance and pricing requirements are with respect to the types of queries your BI tool will be running.
Is Redshift still worth choosing in 2026? Here’s what I’m seeing in real teams. Dec 5, 2025
r/aws 7mo ago
Should I consider Redshift as datawarehouse when building a data platform? Jan 28, 2025
r/dataengineering last yr.
RDS vs Aurora big price difference
Hello, PM for Amazon RDS and Aurora here. We recommend Amazon Aurora Serverless for bursty workloads that spike up/down frequently. Think an e-commerce website which gets a lot of traffic on weekends and nothing on weekdays. Our customers love not having to scale the database to account for the surge or drop in traffic. Amazon RDS and "regular" Amazon Aurora are for workloads that need sustained throughput. Think a search website which gets traffic throughout the day/week etc. Hope that helps! More on reddit.com
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May 10, 2020Deciding between RDS and Redshift for "data warehouse"
You can go for Aurora first then migrate to redshift when your data gets around 5Tb or so, that’s my estimate in which the query starts to get slow in a rds and dwh will be much faster More on reddit.com
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January 27, 2023Amazon Aurora or DynamoDB??
One table, one record type, one GSI. What other things are you thinking of being in your schema? More on reddit.com
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December 8, 2022When would you use DynamoDB over RDS?
I shared my opinion on this in r/flask a few days ago. If you need to run sophisticated queries on your data or provide users the ability to query based upon a large number of different attributes (like a contact management system where users need to search by name, government ID number, address, telephone number and possibly do various wildcard searches), then an RDBMS will be the best choice (RDS) If you need to simply retrieve a large dataset based on a known unique identifier with low latency, a NoSQL DB like DynamoDB is the preferred choice Between RDS and DynamoDB, the latter has the benefits of being a fully manged service where you don't have to manage instance types, storage types, security groups, subnets etc. You simply configure your tables, keys and indexes as well as what type of throughput they should have (and even then, you can just let DynamoDB handle that with on-demand capacity if you don't really care about the cost). DynamoDB also includes streaming options that allow you to push table events to other services and in-memory caching with DAX (though this is usually very expensive). I find access control with DynamoDB more straightforward as it's all managed through IAM permissions. RDS is better if your usage patterns are constant (applications are reading from/writing to your DB 24/7) as your charged per instance-hour and provisioned storage. Serverless is typically more expensive than managing instances yourself if the usage pattern is constant as the main benefit of serverless is pay-per-use. More on reddit.com
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October 14, 2023What is the difference between AWS RDS and Redshift?
AWS RDS is a managed service for relational databases (e.g., MySQL, PostgreSQL, Oracle, SQL Server) designed for transactional workloads.
Redshift is a cloud data warehouse designed for analytical workloads, handling large-scale data queries and complex aggregations.
Redshift is a cloud data warehouse designed for analytical workloads, handling large-scale data queries and complex aggregations.
hevodata.com
hevodata.com › home › blog › data warehousing
Amazon Redshift Vs RDS Comparison: 9 Critical Factors
What is the difference between Redshift and RDS?
Purpose: Redshift is designed for data warehousing and analytics (OLAP), while RDS (Relational Database Service) is designed for transactional database workloads (OLTP).
Performance: Redshift utilizes a columnar storage format and is optimized for complex queries and large datasets, whereas RDS is optimized for high-speed transactions and relational data operations.
Scalability: Redshift can scale to handle petabyte-scale data warehouses, while RDS is more focused on scaling for standard database applications.
Performance: Redshift utilizes a columnar storage format and is optimized for complex queries and large datasets, whereas RDS is optimized for high-speed transactions and relational data operations.
Scalability: Redshift can scale to handle petabyte-scale data warehouses, while RDS is more focused on scaling for standard database applications.
hevodata.com
hevodata.com › home › blog › data warehousing
Amazon Redshift vs Aurora: 9 Critical Differences
Which is better, Aurora or Redshift?
Choosing between Aurora and Redshift depends on the use case. Aurora is better for transactional workloads and applications that require high availability and low-latency access to data. Redshift, on the other hand, is optimized for analytical workloads, providing fast query performance on large datasets for business intelligence and reporting.
hevodata.com
hevodata.com › home › blog › data warehousing
Amazon Redshift vs Aurora: 9 Critical Differences
15:39
Databases on AWS Explained (RDS, DynamoDB, Redshift, Aurora) - YouTube
57:31
AWS re:Invent 2024 - Analyze Amazon Aurora & RDS data in Amazon ...
11:03
AWS S3 Vs. DynamoDB Vs. RDS Aurora Vs. Redshift - YouTube
AWS Databases Explained Simply: RDS vs DynamoDB vs ...
07:02
AWS MySQL Aurora Vs RDS - What one should I chose? - YouTube
Medium
medium.com › @abylead › aws-database-overview-rds-vs-aurora-vs-redshift-vs-dynamodb-7eeebb61ca98
Amazon RDS vs Redshift vs DynamoDB Database
November 12, 2023 - Aurora instances are organized in clusters and connected with an additional distributed storage cluster and a serverless option. All of this gives you higher global SQL performance and scalability also for modern global apps.
Hevo Data
hevodata.com › home › blog › data warehousing
Amazon Redshift vs Aurora: 9 Critical Differences
January 27, 2026 - Performance: Redshift utilizes a columnar storage format and is optimized for complex queries and large datasets, whereas RDS is optimized for high-speed transactions and relational data operations.
DataCamp
datacamp.com › blog › rds-vs-aurora
Amazon RDS vs Aurora: Which is Right For Your Data Workload? | DataCamp
March 23, 2025 - It also integrates with AWS services like Lambda and Redshift, allowing advanced analytics and event-driven computing. An example of the Amazon Aurora architecture diagram - Source: AWS · Learn to optimize AWS services for cost efficiency and performance. ... Both RDS and Aurora simplify database administration, but they have key differences in performance, cost, scalability, availability, and fault tolerance.
TechTarget
techtarget.com › searchcloudcomputing › tip › When-to-use-Amazon-RDS-vs-Redshift
When to use Amazon RDS vs. Redshift | TechTarget
Amazon Aurora allows storage that auto scales, but for other engines, the only way to scale storage is to increase disk capacity in the RDS instance. Adding more read replicas can offload the primary node, but the primary node still stores and manages the source data. Amazon Aurora also supports a serverless option, for which it's necessary to configure a minimum amount of compute capacity using ACUs. To provision a Redshift cluster, you select the following:
StackShare
stackshare.io › stackups › amazon-aurora-vs-amazon-redshift
Amazon Redshift vs Amazon Aurora | What are the differences? | StackShare
In summary, the key differences between Amazon RDS for Aurora and Amazon Redshift lie in their data storage architecture, focus on transaction processing vs. analytics, replication capabilities, scalability options, querying and performance characteristics, and pricing models.
AWS
aws.amazon.com › what is cloud computing? › databases › compare amazon aurora and amazon rds
Differences between Amazon Aurora and Amazon RDS - AWS
2 weeks ago - Compare Amazon Aurora and Amazon RDS side by side. Aurora offers up to 5x MySQL performance with cloud-native architecture; RDS provides familiar engines with managed infrastructure. See features, pricing, use cases, and expert guidance to choose the right AWS relational database.
CloudZero
cloudzero.com › home › blog › aurora vs. rds: choosing the best aws database solution
Aurora Vs. RDS: Choosing The Best AWS Database Solution
May 15, 2026 - That means less replication lag, faster recovery, and smoother performance even at a large scale. Aurora Serverless — Amazon’s on-demand autoscaling configuration — lets you scale compute up or down instantly.
Hevo Data
hevodata.com › home › blog › data warehousing
Amazon Redshift Vs RDS Comparison: 9 Critical Factors
January 27, 2026 - Storage scaling will depend on ... database engine. Redshift is a completely managed data warehouse as a service and can scale up to petabytes of data while offering lightning-fast querying performance....
Medium
medium.com › @singhsaloni890 › learning-aws-day-by-day-day-37-amazon-rds-redshift-and-aurora-overview-8bb396b22f77
Learning AWS Day by Day — Day 37 — Amazon RDS, RedShift and Aurora — Overview | by Saloni Singh | Medium
April 15, 2024 - Amazon Aurora: - proprietary technology ... a Postgres or MySQL database) - Aurora is AWS cloud optimized and claims 5x performance improvement over MySQL and 3x improvement over PostgreSQL on RDS....
Just After Midnight
justaftermidnight247.com › insights › rds-redshift-dynamodb-and-aurora-how-do-aws-managed-databases-compare
RDS, Redshift, DynamoDB and Aurora - how do AWS’ managed databases compare? | Just After Midnight
January 23, 2026 - Further, Aurora has significantly higher performance stats compared to MySQL and PostgreSQL run on RDS. Aurora is also an enterprise solution, even when used with RDS. RDS – Because RDS is less complex, it’s easier to scale – requiring ...
The New Stack
thenewstack.io › home › amazon aurora vs. redshift: what you need to know
Amazon Aurora vs. Redshift: What You Need to Know - The New Stack
May 25, 2023 - The columnar storage format used by Redshift enables efficient compression and fast query execution, while the MPP architecture enables high performance even with large datasets. Both services are designed to scale horizontally, meaning you ...
TechTarget
techtarget.com › searchcloudcomputing › answer › When-should-I-use-Amazon-RDS-vs-Aurora-Serverless
Amazon RDS vs. Aurora Serverless: What's the better option? | TechTarget
This article breaks down the two services and compares factors such as resource management, performance and cost. Amazon RDS is a managed service that launches and maintains database servers in the cloud. This service enables developers to choose database instance type and size. Users can also select a database engine, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server.
AWS
docs.aws.amazon.com › databases-on-aws-how-to-choose
Amazon
Amazon Redshift is a fully managed, cloud-based data warehousing service that handles large-scale analytics workloads. There are two high-level categories of AWS OLTP databases—relational and non-relational. ... The AWS relational database family includes eight popular engines for Amazon Aurora ...
GeeksforGeeks
geeksforgeeks.org › devops › aws-rds-vs-aurora
AWS RDS vs Aurora: How to Choose the Right AWS Database Solution - GeeksforGeeks
June 26, 2026 - The choice between AWS RDS and Amazon Aurora is governed by budget parameters, performance requirements, and engine dependencies.
DB-Engines
db-engines.com › en › system › Amazon+Aurora;Amazon+Redshift
Amazon Aurora vs. Amazon Redshift Comparison
Detailed side-by-side view of Amazon Aurora and Amazon Redshift
Folio3
cloud.folio3.com › home › amazon aurora vs redshift: a comprehensive comparison in 2024
Amazon Aurora vs Redshift: A Comprehensive Comparison in 2024
January 25, 2024 - If your needs involve rapid and ... or Aurora might be more appropriate. Amazon Redshift generally offers better query performance for complex analytical queries compared to Amazon Aurora....
K21 Academy
k21academy.com › aws-cloud › aws-database-service-amazon-rds-aurora-dynamodb-elasticache
AWS Database Services | Amazon Aurora, RDS, DynamoDB
June 6, 2023 - Each cluster contains one or more databases and runs an Amazon Redshift engine. The type and number of compute nodes that you need depend on the size of your data, the number of queries you will execute, and the query execution performance that you need. Read More: About AWS Elastic Load Balancers. Click here · The managed relational database service offered by AWS is called Amazon Aurora.
Reddit
reddit.com › r/aws › rds vs aurora big price difference
r/aws on Reddit: RDS vs Aurora big price difference
May 10, 2020 -
Difference between RDS and Aurora, when hosting Java application with PostgreSQL database.
Here i have my estimated pricing for using RDS. I suppose this is a separate server for actually hosting the database (hence the price) I found this alternative Aurora, which seemed a little bit better in regards to pricing.
This is much cheaper and also allows for almost the same amount of data (and up 1 million requests).
Can anyone explain to me the major differences in regards to these two services?
Top answer 1 of 5
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Hello, PM for Amazon RDS and Aurora here. We recommend Amazon Aurora Serverless for bursty workloads that spike up/down frequently. Think an e-commerce website which gets a lot of traffic on weekends and nothing on weekdays. Our customers love not having to scale the database to account for the surge or drop in traffic. Amazon RDS and "regular" Amazon Aurora are for workloads that need sustained throughput. Think a search website which gets traffic throughout the day/week etc. Hope that helps!
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Aurora is more than just serverless. Serverless is good for bursting or dynamic workloads. Regular aurora gives you managed updates, scaling, separate data and compute plane, etc. It is way more managed than RDS