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 Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Databases · head to head

dbt vs Dgraph

dbt

Databases

SQL transformation framework enabling analytics engineers to version, test and deploy models

From: Free
Rated: -

Full review Website

Dgraph

Databases

Apache 2.0 distributed graph database written in Go, maintained by Hypermode, queried through GraphQL or its own DQL language.

From: Free
Rated: -

Full review Website

The short version

Each has a real cost: dbt free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use; Dgraph sharding is by predicate, so a single very hot predicate lives entirely in one Raft group and cannot be split further; adding nodes does not relieve it and the fix is a data model change.
Prices and features above were last checked on 2 September 2026.

Where they differ

Only the attributes on which dbt and Dgraph actually diverge.

Attributes where dbt and Dgraph differ
Attribute	dbt	Dgraph
Pricing model	subscription\|free	freemium
Platforms	Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)	Linux, Mac, Docker, Web
Founded	Unknown	2016

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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

Apache 2.0 licence
Generated GraphQL API
DQL query language
Predicate sharding
Raft replication
Distributed ACID transactions
Written in Go
Full-text and geo indexing

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

An application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes GraphQLnot dbt
A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot dbt
Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot dbt
Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot 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: 3,000 models/month cap and single project maximum restricts team and production use
Starter at $1,200/year per seat: minimum 5-seat team costs $6,000/year baseline; no single-seat or 2-seat paid option
Enterprise pricing opaque: 'custom pricing' with no budget range for startups vs. enterprises; requires sales consultation
Model volume metering unclear: 'successful models/month' as a limit is ambiguous; unclear if this counts transformation runs, test runs, or deployment attempts

Dgraph

Sharding is by predicate, so a single very hot predicate lives entirely in one Raft group and cannot be split further; adding nodes does not relieve it and the fix is a data model change.
Stewardship passed from Dgraph Labs to Hypermode after the original company stopped operating independently, so anyone building on it is betting on a second custodian rather than on the original team's roadmap.
The GraphQL layer is generated and opinionated, so anything it does not express drops you into DQL, which is a second language your team must learn and which no other database speaks.
The community is a fraction of Neo4j's, so operational answers, tuning experience, hiring and third-party tooling are all thinner, and unusual failure modes in a Zero and Alpha cluster leave you reading source rather than a forum.
There is no portable graph standard to migrate to; Cypher, Gremlin and SPARQL are all different query models, so the schema and every query is a rewrite if you later leave, and that cost grows with the application.

Pricing, plan by plan

dbt

Free

DeveloperFree
Starter$100/seat/month
Enterprise$undefined/mo
Enterprise+$undefined/mo

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).

dbt review

Choose Dgraph if

You need apache 2.0 licence.
You want to start without paying.
You work on Linux, Mac, Docker, Web.
You also want generated graphql api.

Dgraph review

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 Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Answered from the vendors’ own pages

dbt: How much does dbt cost?

dbt Developer is free. dbt Starter is $100/seat/month with a 5-seat minimum (or custom annual billing). Enterprise and Enterprise+ have custom pricing and require contacting sales.

Source

Dgraph: Is Dgraph open source?

Yes. The current repository is Apache 2.0, which is a permissive OSI licence, and the project is at v25 under Hypermode's maintenance.

dbt: What is included in the free Developer plan?

The Developer plan is free and includes 1 developer seat, 3,000 successful models/month limit, 1 project, browser-based IDE, MFA, and job scheduling.

Source

Dgraph: Is it really GraphQL?

It serves a generated GraphQL API, which is real GraphQL for clients. Its native language, DQL, resembles GraphQL syntactically but is Dgraph's own language and is not the GraphQL specification.

dbt: What is the model limit on each plan?

Developer tier allows 3,000 successful models/month. Starter allows 15,000/month. Enterprise and Enterprise+ allow 100,000/month.

Source

Dgraph: How does it compare to Neo4j?

Neo4j has the larger ecosystem, Cypher, and far more operational precedent. Dgraph distributes storage across nodes by default and gives you a GraphQL endpoint without writing resolvers. The choice usually turns on whether you need horizontal scale and a GraphQL surface more than you need ecosystem depth.

dbt: Can I upgrade or downgrade my dbt plan?

Yes. dbt allows you to 'upgrade or downgrade at any time.' Starter plans bill monthly by credit card based on seat count; Enterprise plans are annual invoicing.

Source

Dgraph: What does a production cluster look like?

At minimum a set of Zero nodes for coordination and a replicated set of Alpha nodes for data, typically three of each for fault tolerance, which is a meaningfully larger operational footprint than a single graph server.

Dgraph: Who maintains it now?

Hypermode. Dgraph Labs, the original company, no longer operates it, and that change of custodian is the main non-technical risk to weigh.

dbt vs Dgraph

dbt

Dgraph

The short version

Where they differ

What each one covers

Only in dbt

Only in Dgraph

What people use each for

dbt

Dgraph

Where each one falls short

dbt

Dgraph

Pricing, plan by plan

dbt

Dgraph

Which should you pick?

Choose dbt if

Choose Dgraph if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on dbt

More on Dgraph

Keep looking

Other head to heads