Comparison

dbt Core vs Prefect

No clear leader: Prefect (69.8) and dbt Core (64.9) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
dbt Core65
Prefect70
Score
Vioscale score
dbt Core65 / 100high · 77%
Prefect70 / 100high · 76%
Pricing
Free tier
dbt Core
Prefect
Model
dbt Coreopen_source
Prefectcommercial
Price level
dbt Corefree
Prefecthigh
Transparent
dbt Core
Prefect
Integrations
Count
dbt Core6
Prefect5
Reliability
Sla pct
dbt Core
Prefect99.99
Status page
dbt Core
Prefect
Adoption
Dependent repos
dbt Core553
Prefect767
Github stars
dbt Core13,694
Prefect23,691
Package downloads weekly
dbt Core21,005,917
Prefect2,710,819
Activity
Commits last 30d
dbt Core100
Prefect100
Release
Cadence days
dbt Core2
Prefect1
History
dbt Core20 items
Prefect20 items
License
Spdx
dbt CoreApache-2.0
PrefectApache-2.0
Language
Primary
dbt CoreRust
PrefectPython

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
dbt CoreTransformation
PrefectOrchestrator
Processing paradigm
dbt CoreBatch
PrefectBatch
Connectivity
Connector count
dbt Core6+ named integrations with broader ecosystem
PrefectNot specified
CDC / log-based replication
dbt Core-
Prefect-
Transformation
In-warehouse transformation (push-down)
dbt Core-
Prefect-
dbt-native orchestration
dbt Core
Prefect
Deployment
Self-hosted / open-source available
dbt Core
Prefect
Managed cloud available
dbt Core
Prefect
Governance
Data lineage / asset catalog
dbt Core
Prefect
Authoring
Python-first authoring
dbt Core-
Prefect
Execution
Incremental / partition-aware runs
dbt Core-
Prefect
Quality
Built-in data quality / tests
dbt Core
Prefect-
Scale
Horizontal scale (distributed executor)
dbt Core-
Prefect

What each one is

The product in its own terms, so the numbers below have context.

dbt Core

dbt is a framework that enables data teams to transform data using SQL-based development practices similar to software engineering, with built-in testing, version control, and deployment capabilities. It provides lineage tracking, documentation, and can run locally or in the cloud.

Independently observed

Prefect

A workflow orchestration platform that enables teams to build resilient automated processes using Python, with features like automatic retries, state tracking, and run observability. Supports flexible deployment options ranging from managed cloud infrastructure to self-hosted environments on Kubernetes or user-provided compute.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

dbt Core

from $100/moHybridFree tier14-day trial

Free Developer tier, $100/seat/month for Starter, custom pricing for Enterprise

  • DeveloperFree
    • Browser-based IDE
    • Multi-factor authentication (MFA)
    • Job scheduling
    • Keep on the latest dbt release
  • Starter$100/seat/month
    • All Developer features
    • dbt Catalog basic
    • dbt Semantic Layer basic
    • dbt Copilot code generation
    • API access
  • EnterpriseContact sales
    • All Starter features
    • dbt Catalog advanced
    • dbt Semantic Layer advanced
    • dbt Copilot
    • dbt Canvas
    • +2 more
  • Enterprise+Contact sales
    • All Enterprise features
    • PrivateLink
    • IP Restrictions
    • Rollback
    • Hybrid projects
as of verify ↗

Prefect

from $100/moSubscriptionFree tier

Free tier. Starter from $100/mo. Team at $100/user/mo. Enterprise custom pricing.

  • HobbyFree
    • workflow scheduling
    • workflow observability
    • logging & alerting
  • Starter$100/mo
    • bring your own compute
    • webhooks
    • API access
  • Team$100/user/mo
    • service accounts
    • audit logging
    • team collaboration
  • EnterpriseContact sales
    • SSO (SAML/OIDC)
    • RBAC with object-level ACLs
    • multiple workspaces
    • directory sync (SCIM)
    • IP allowlisting
    • +1 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
dbt Core
Prefect
macOS
dbt Core
Prefect
Windows
dbt Core
Prefect
Linux
dbt Core
Prefect
CLI
dbt Core
Prefect
Deployment
Cloud / SaaS
dbt Core
Prefect
Self-hosted
dbt Core
Prefect
Hybrid
dbt Core
Prefect

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • OpenAI

dbt Core

6 total - 5 not shared
  • Tableau
  • Fivetran
  • Snowflake
  • Azure AI
  • Databricks
Independently observed

Prefect

5 total - 4 not shared
  • Pydantic AI
  • AWS Secrets Manager
  • HashiCorp Vault
  • dbt
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.