dbt
Build data pipelines the way software engineers build apps: modular, tested, and version-controlled
By dbt Labs · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Analytics engineering teams that want modular, tested, version-controlled SQL transformation pipelines
- Organizations standardizing transformations in SQL with CI checks on GitHub and GitLab
- Data teams trying to cut warehouse compute spend with state-aware, incremental orchestration
- Companies that need column-level lineage, a catalog and governed metrics across many projects
- Teams that want a self-hosted or hybrid option (dbt is open and runs against your own warehouse)
Ideal size: 10–500 people · Scale-up or enterprise with a dedicated data or analytics engineering function
Not for
- Teams with no SQL or analytics-engineering capacity who want a no-code, point-and-click tool
- Buyers looking for a full managed ETL/ingestion service rather than transformation logic
- Organizations that cannot run any workloads against a cloud data platform
Value metrics scorecard
Time-to-Value
About 2–4 weeks
~30 days to first production value
Total Cost of Ownership
$24,000/yr
Starts at $1,200 · Free Developer tier; Starter $100 per user/month; Enterprise and Enterprise+ custom-priced; consumption add-ons billed separately with no seats or minimums.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Developer: 1 free seat; Starter: 5 developer seats included; Enterprise and Enterprise+: custom seat counts
Add-on costs
- dbt State: pay-as-you-go at $0.094 per DATT (daily active target table) after a 30-day free trial
- dbt Wizard: pay per token across frontier models, with free monthly usage and a BYOK option to pay your AI provider directly
- Enterprise includes $100/mo of Wizard credits and Enterprise+ $200/mo; extra usage is billed as a consumption add-on
Company & support
Who is behind dbt, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumAll plans
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Priority support with SLAs on Enterprise and Enterprise+ plans
Documentation, online learning and community access are listed on every plan. Developer and Starter list a 24x5 support level; Enterprise and Enterprise+ add priority support, enhanced SLAs, implementation assistance and dedicated account management.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where dbt sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- dbt
- ThoughtSpot
- Dynatrace
- Absorb LMS
- Lineup.ai
- LogicMonitor
Add or change companies
Up to 10 companies including dbt. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What dbt ships in AI, and what it asks of your ecosystem.
AI features shipped
dbt Wizard is an AI agent purpose-built for analytics engineering, grounded in your dbt project and available in the platform and from the terminal. dbt also ships dbt_context_engineering to prepare AI-ready data. No per-action AI audit trail is documented.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Not supported
- Model key
- Either
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
dbt (dbt Labs) is a data transformation platform where analytics teams build SQL pipelines as modular, tested, version-controlled code. Its Fusion engine adds SQL comprehension, column-level lineage and state-aware orchestration that rebuilds only changed models, cutting warehouse compute. It works with Snowflake, Databricks and other engines, and includes dbt Catalog, a Semantic Layer and the dbt Wizard AI agent. A free Developer tier exists; paid plans start at $100 per seat per month.
Frequently asked questions
What does dbt cost for a small team?
There is a free Developer tier with one seat and 3,000 successful models built per month. Starter is $100 per user per month and includes five developer seats, 15,000 models per month and one project. Enterprise and Enterprise+ are custom-priced. Consumption add-ons such as dbt State ($0.094 per DATT) and dbt Wizard tokens are billed separately and both start with a 30-day free trial.
How long until we see value from dbt?
Self-serve start is fast: the free Developer plan, browser IDE and quickstart guides get a first project running quickly, but most teams should budget about 2–4 weeks to reach reliable scheduled production models with tests and CI. dbt cites customers delivering implementations 10x faster and claims state-aware orchestration saves 30%+ on warehouse spend.
Does dbt store or move our data?
dbt states that it never stores your data. Transformations are compiled and executed against your own warehouse or compute platform, with Snowflake and Databricks among the named integrations, so data stays where it already lives.
Does dbt support AI agents and MCP?
Yes. dbt Wizard is an AI agent for analytics engineering that is grounded natively in your project, and the dbt MCP Server is listed as a platform feature in the plan comparison. Wizard usage is billed per token, with monthly credits on Enterprise tiers and a bring-your-own-key option so you can pay your model provider directly.
What certifications and compliance coverage does dbt have?
dbt Labs publishes SOC 2 Type II, ISO 27001:2022, ISO 42001:2023, ISO 27701, ISO 27017, ISO 27018 and GDPR compliance on its security page, and states that it has been assessed against relevant HIPAA Security criteria as part of its SOC 2 Type II report.
What support is included at each plan level?
Documentation, online learning and the 100,000+ member dbt Community are available on every plan. Developer and Starter list a 24x5 support level, while Enterprise and Enterprise+ add priority support with SLAs, implementation assistance and dedicated account management.