Softwr

Database & Data Management · head to head

BigQuery vs dbt

BigQuery logo

BigQuery

Database & Data Management

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-
Full reviewWebsite
dbt logo

dbt

Database & Data Management

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery query costs can become substantial for organizations with high query volumes; dbt free tier severely limited to one developer seat and 3,000 models/month

Where they differ

Only the attributes on which BigQuery and dbt actually diverge.

Attributes where BigQuery and dbt differ
AttributeBigQuerydbt
Pricing modelusage-basedfreemium
PlatformsWeb, Cloud APICloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)
Founded2008Unknown

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 BigQuery

  • Serverless Architecture
  • Petabyte Scale
  • Real-time Analytics
  • Machine Learning
  • Geospatial Analysis
  • Streaming Ingestion
  • Standard SQL
  • Looker

Only in dbt

Nothing recorded that BigQuery does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

BigQuery

  • Business intelligencenot dbt
  • Data warehousingnot dbt
  • Real-time analyticsnot dbt
  • Reportingnot dbt
  • Machine learningnot dbt

dbt

  • Data warehouse transformation and ELT pipelinesnot BigQuery
  • Analytics engineering for reporting and business intelligencenot BigQuery
  • Data quality testing and validation at scalenot BigQuery
  • Cross-functional data collaboration with version controlnot BigQuery
  • Cost optimisation of warehouse usage through intelligent schedulingnot BigQuery

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

BigQuery

  • Query costs can become substantial for organizations with high query volumes
  • Data egress from Google Cloud incurs additional charges

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

Pricing, plan by plan

BigQuery

Free
  • Free TierFree
    • 1TB queries/month
    • 10GB storage/month
    • Standard support
  • On-demand$6.25/TB
    • Pay per query
    • Pay per storage
    • All features

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

Which should you pick?

Choose BigQuery if

  • You need serverless architecture.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want petabyte scale.
BigQuery review

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

Questions people ask

Is BigQuery or dbt better?
Neither clearly leads. BigQuery starts at Free and dbt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery or dbt?
BigQuery starts at Free and dbt at Free.
Does BigQuery or dbt run on more platforms?
BigQuery runs on Web, Cloud API. dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
Can I use BigQuery for free?
Both have a free tier, so you can try either at no cost before committing.
What is BigQuery best used for?
BigQuery is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what dbt is typically brought in for.
What can BigQuery do that dbt cannot?
BigQuery covers Serverless Architecture, Petabyte Scale, Real-time Analytics, Machine Learning.

Answered from the vendors’ own pages

BigQuery: How is BigQuery priced?

BigQuery charges $5 per terabyte of data processed in on-demand queries. Storage is billed separately: active storage is charged per GB, and data inactive for 90+ days moves to long-term storage at reduced rates.

Source
BigQuery: What is BigQuery's architecture?

BigQuery separates compute and storage, using Google's Colossus for distributed storage and Borg for computation, allowing independent scaling of each.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on BigQuery

More on dbt

Keep looking

Other head to heads