Database & Data Management · head to head
dbt vs Amazon Redshift
dbt
Database & Data Management
SQL transformation framework enabling analytics engineers to version, test and deploy models
- From
- Free
- Rated
- -
Amazon Redshift
Database & Data Management
Fast, scalable cloud data warehouse from AWS
- From
- Free
- Rated
- -
The short version
- Each has a real cost: dbt free tier severely limited to one developer seat and 3,000 models/month; Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
Where they differ
Only the attributes on which dbt and Amazon Redshift actually diverge.
| Attribute | dbt | Amazon Redshift |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf) | Web |
| Founded | Unknown | 2012 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in dbt
Nothing recorded that Amazon Redshift does not also cover.
Only in Amazon Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
What people use each for
The jobs each tool is most often brought in to do.
dbt
- Data warehouse transformation and ELT pipelinesnot Amazon Redshift
- Analytics engineering for reporting and business intelligencenot Amazon Redshift
- Data quality testing and validation at scalenot Amazon Redshift
- Cross-functional data collaboration with version controlnot Amazon Redshift
- Cost optimisation of warehouse usage through intelligent schedulingnot Amazon Redshift
Amazon Redshift
- Business intelligencenot dbt
- Data warehousingnot dbt
- Real-time analyticsnot dbt
- Reportingnot dbt
- Machine learningnot dbt
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
dbt
- Free tier severely limited to one developer seat and 3,000 models/month
- Starter plan at $100/user/month for each additional seat adds costs for team collaboration
- Requires existing data warehouse; not suitable for teams without cloud warehouse investment
Amazon Redshift
- On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
- Performance degrades without proper design of distribution keys and sort keys
- Limited elastic resize options - can only halve or double current cluster size
- AWS lock-in makes it unsuitable for multi-cloud architectures
Pricing, plan by plan
dbt
Free- Developer (Free)Free
- One Developer seat
- 3,000 successful models built per month
- Browser IDE
- Starter$100/user/month
- Five Developer seats
- 15,000 successful models built per month
- dbt Catalog
- Enterprise$null/custom
- Custom Developer seat count
- 100,000 successful models built per month
- 30 projects
- Enterprise+$null/custom
- Unlimited projects
- All Enterprise features
- PrivateLink
Amazon Redshift
Free- Free TrialFree
- 750 DC2.Large hours
- 2 months free
- Full features
- On-Demand$0.25/hour
- Pay per node hour
- All features
- Standard support
Which should you pick?
Choose dbt if
- You want to start without paying.
- You work on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Questions people ask
- Is dbt or Amazon Redshift better?
- Neither clearly leads. dbt starts at Free and Amazon Redshift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, dbt or Amazon Redshift?
- dbt starts at Free and Amazon Redshift at Free.
- Does dbt or Amazon Redshift run on more platforms?
- dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). Amazon Redshift runs on Web.
- Can I use dbt for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is dbt best used for?
- dbt is most often used for data warehouse transformation and elt pipelines, analytics engineering for reporting and business intelligence, data quality testing and validation at scale, cross-functional data collaboration with version control. Of those, data warehouse transformation and elt pipelines and analytics engineering for reporting and business intelligence are not what Amazon Redshift is typically brought in for.
- What can dbt do that Amazon Redshift cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration.
Answered from the vendors’ own pages
Amazon Redshift: What deployment options does Amazon Redshift offer?
Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.
SourceAmazon Redshift: What does Amazon Redshift cost?
Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.
SourceAmazon Redshift: Does Redshift work with data lakes?
Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.
SourceAmazon Redshift: Is there a free tier for Amazon Redshift?
AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.
Source