TechTarget
techtarget.com › searchcloudcomputing › tip › When-to-use-Amazon-RDS-vs-Redshift
When to use Amazon RDS vs. Redshift | TechTarget
Like RDS, nodes incur an hourly fee depending on the deployed node type and size. If left running nonstop, the most expensive Redshift node, ra3.16xlarge, can incur approximately $9,400 per month without counting storage fees. This could make a multinode cluster reach $50,000 to $100,000 monthly. There are also node types, such as ra3.large, that cost approximately $400 per month.
Deciding 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
DynamoDB or Aurora or RDS?
Try this search for more information on this topic. Comments, questions or suggestions regarding this autoresponse? Please send them here . I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns. More on reddit.com
What are the pros and cons of using DMS to power a redshift datawarehouse?
My experience of DMS is that is a somewhat capricious product: when it breaks you get very little information as to what or why. One issue with one table blocks all replication from the source to the target and you end up with stale data in redshift and rapidly growing transaction logs in your RDS instances. More than once we had to just drop the table on the redshift end and let dms repopulate it. Schema changes were also complicated if you didn’t want the replication of ddl (which we didn’t for a range of reasons). There were also some odd quirks like it wanting to replicate booleans as the strings true/false. All this may be bearable as part of a transition of some sort but I would recommend against it being a permanent part of your infrastructure. More on reddit.com
Why is RDS so incredibly expensive
$10/day is a pretty beefy RDS instance (an m6g.large Postgres RDS instance costs ~$3.81/day). What instance size did you provision? How much disk space did you provision? Did you enable Multi-AZ? a billing issue or random charges Highly doubtful that this is a billing issue or a 'random charge'. More likely you misconfigured something and didn't realize it. More on reddit.com
What 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 RD?
Redshift is optimized for Online Analytical Processing (OLAP), ideal for data warehousing and running complex queries on large datasets.
Relational databases (like those in RDS) are optimized for Online Transaction Processing (OLTP), suited for applications requiring frequent read/write operations.
Relational databases (like those in RDS) are optimized for Online Transaction Processing (OLTP), suited for applications requiring frequent read/write operations.
hevodata.com
hevodata.com › home › blog › data warehousing
Amazon Redshift Vs RDS Comparison: 9 Critical Factors
Is Redshift a relational database?
Yes, Redshift is a relational database, as it uses SQL and supports structured data. However, it is specialized for analytical purposes rather than traditional transactional tasks.
hevodata.com
hevodata.com › home › blog › data warehousing
Amazon Redshift Vs RDS Comparison: 9 Critical Factors
Hevo Data
hevodata.com › home › blog › data warehousing
Amazon Redshift Vs RDS Comparison: 9 Critical Factors
January 27, 2026 - The argument in favor of completely managed services is the obvious cost savings and relief from offloading all the nitty-gritty related to maintaining a highly reliable database service. In this blog, we will compare two of the most popular databases as a service from Amazon – AWS Redshift vs RDS, to see how they stack up to each other.
Amazon Web Services
aws.amazon.com › analytics › amazon redshift › pricing
Amazon Redshift Pricing
1 week ago - For RG or RA3, data stored in managed ... node costs. Amazon Redshift has zero-ETL integrations with online transaction processing (OLTP) databases and enterprise applications, removing the need to build and manage extract, transform, and load (ETL) pipelines. Supported databases include Amazon Aurora, Amazon DynamoDB, and Amazon Relational Database Service (Amazon RDS), and Oracle ...
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!
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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.
Portable
portable.io › learn › redshift-pricing
Redshift Pricing Explained: Credits, Usage & Costs Revealed
December 14, 2022 - Redshift is more expensive than Amazon Relational Database Service (RDS), but it offers a more robust feature set and better scalability. Compared with other data warehouses, Redshift is not expensive at all.
CloudThat
cloudthat.com › home › blogs › comparison between amazon rds and amazon redshift
Comparison between Amazon RDS and Amazon Redshift
June 25, 2024 - Routine database functions, including provisioning, patching, backup, recovery, failure detection, and repair, are handled by Amazon RDS. ... A petabyte-scale data warehouse service called Amazon Redshift is quick, potent, and completely managed in the cloud. The administration of traditional data warehouses takes a lot of time and resources, especially for huge datasets. Building, maintaining, and expanding a self-managed, on-premises data warehouse is a significant financial expense. In addition to dramatically reducing the cost of a data warehouse, Amazon Redshift also makes it simple to analyze huge amounts of data quickly.
AWS
aws.amazon.com › what is cloud computing? › databases › amazon rds and amazon redshift
Amazon RDS and Amazon Redshift - Compare AWS Transactional and Analytics Databases - AWS
1 week ago - Compare Amazon RDS and Amazon Redshift side by side. RDS is a managed relational database for transactional workloads (OLTP); Redshift is a cloud data warehouse for analytics and business intelligence (OLAP).
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 - If you’re most interested in offloading the management costs of a relatively simple database: one with a max volume in the terabytes and standard queries, you’ll probably pick RDS. If you have the time, financial resources and the requirement to invest in, and maintain, a DB service to deal with complex queries and vast amounts of storage need, then Redshift is the one for you.
Amazon Web Services
aws.amazon.com › analytics › amazon redshift › amazon redshift faqs
Amazon Redshift FAQs - Cloud Data Warehouse - Amazon Web Services
1 week ago - You can also directly query data ... Amazon RDS PostgreSQL and MySQL. See the Getting Started Guide. If you don't have data warehouse management experience, you don’t have to worry about setting up, configuring, managing clusters or tuning the warehouse. You can focus on deriving meaningful insights from your data or delivering on your core business outcomes through data. You pay only for what you use, keeping costs manageable. You continue to benefit from all of Amazon Redshift’s top-notch ...
Boltic
boltic.io › home › blog › aws redshift vs rds
AWS Redshift vs RDS - Key Features, Comparison & Use Cases
January 14, 2026 - This means that AWS will manage the infrastructure, and you only need to worry about your data and applications. Redshift is a data warehouse service, while RDS is a relational database service. ... Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyse all your data across your data warehouse and data lake.