Database & Data Management · head to head
dbt vs Dgraph
dbt
Database & Data Management
SQL transformation framework enabling analytics engineers to version, test and deploy models
- From
- Free
- Rated
- -
Dgraph
Database & Data Management
The only native GraphQL database with graph backend
- 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; Dgraph the GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
Where they differ
Only the attributes on which dbt and Dgraph actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Dgraph does not also cover.
Only in Dgraph
- Native GraphQL
- Distributed Architecture
- ACID Transactions
- GraphQL Subscriptions
- Full-text Search
- Geolocation Queries
- Horizontal Scaling
- GraphQL
What people use each for
The jobs each tool is most often brought in to do.
dbt
- Data warehouse transformation and ELT pipelinesnot Dgraph
- Analytics engineering for reporting and business intelligencenot Dgraph
- Data quality testing and validation at scalenot Dgraph
- Cross-functional data collaboration with version controlnot Dgraph
- Cost optimisation of warehouse usage through intelligent schedulingnot Dgraph
Dgraph
- Knowledge graphsnot dbt
- Fraud detectionnot dbt
- Recommendation enginesnot dbt
- Network analysisnot dbt
- Master data managementnot 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
Dgraph
- The GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
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
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise 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 Dgraph if
- You need native graphql.
- You want to start without paying.
- You work on Linux, Mac, Docker, Web.
- You also want distributed architecture.
Questions people ask
- Is dbt or Dgraph better?
- Neither clearly leads. dbt starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, dbt or Dgraph?
- dbt starts at Free and Dgraph at Free.
- Does dbt or Dgraph run on more platforms?
- dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). Dgraph runs on Linux, Mac, Docker, 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 Dgraph is typically brought in for.
- What can dbt do that Dgraph cannot?
- Dgraph covers Native GraphQL, Distributed Architecture, ACID Transactions, GraphQL Subscriptions.