Decision comparison
dbt (data build tool) vs Fivetran
dbt and Fivetran publish capabilities for different parts of a data workflow. dbt supports SQL-based transformation with version control and CI/CD, tests and observability, orchestration, Catalog lineage and metadata, and Semantic Layer metrics. Fivetran offers managed data movement, including 700+ fully managed connectors on its Standard plan, plus a dbt Core integration. Pricing also follows different models: dbt lists a $100-per-user-per-month Starter plan, while Fivetran publishes usage-based pricing.
Used together. These are normally used together rather than chosen between. The comparison explains what each one does in the stack.
These are different kinds of product — Transformation Framework and ELT Platform.
Quick Comparison
| Decision factor | dbt (data build tool) | Fivetran |
|---|---|---|
| Primary Function | SQL-based data transformation, with orchestration, observability, Catalog, and Semantic Layer capabilities | Managed data movement from sources to destinations |
| Pricing Model | dbt Developer is free for one seat with 3,000 successful models per month. Starter is $100 per user/month for five seats, 15,000 models and 5,000 queried metrics, including $100/month in Wizard credits per account. Enterprise and Enterprise+ are custom priced, with $200/month in Wizard credits on Enterprise. Verified 2026-09-17 against getdbt.com/pricing; the retired Pro and Team names no longer appear. | Fivetran is consumption-priced on monthly active rows and quoted through its own estimator. The plans are Free, Standard, Enterprise and Business Critical. The Free plan covers up to 500,000 monthly active rows for connections, 3,500 for activations and 5,000 model runs. Fivetran advertises savings of up to 22% on an annual contract. No per-plan price is published. |
| Open Source | dbt repository source is available under the Apache 2.0 license | Not verified |
| Best For | Workflows needing SQL models, version control and CI/CD, testing, lineage, metadata, or consistent metrics | Workflows needing managed connectors, including 700+ fully managed connectors on Standard |
| Learning Curve | Not verified | Not verified |
dbt (data build tool)
- Primary Function:
- SQL-based data transformation, with orchestration, observability, Catalog, and Semantic Layer capabilities
- Pricing Model:
- dbt Developer is free for one seat with 3,000 successful models per month. Starter is $100 per user/month for five seats, 15,000 models and 5,000 queried metrics, including $100/month in Wizard credits per account. Enterprise and Enterprise+ are custom priced, with $200/month in Wizard credits on Enterprise. Verified 2026-09-17 against getdbt.com/pricing; the retired Pro and Team names no longer appear.
- Open Source:
- dbt repository source is available under the Apache 2.0 license
- Best For:
- Workflows needing SQL models, version control and CI/CD, testing, lineage, metadata, or consistent metrics
- Learning Curve:
- Not verified
Fivetran
- Primary Function:
- Managed data movement from sources to destinations
- Pricing Model:
- Fivetran is consumption-priced on monthly active rows and quoted through its own estimator. The plans are Free, Standard, Enterprise and Business Critical. The Free plan covers up to 500,000 monthly active rows for connections, 3,500 for activations and 5,000 model runs. Fivetran advertises savings of up to 22% on an annual contract. No per-plan price is published.
- Open Source:
- Not verified
- Best For:
- Workflows needing managed connectors, including 700+ fully managed connectors on Standard
- Learning Curve:
- Not verified
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | dbt (data build tool) | Fivetran |
|---|---|---|
| GitHub commits, 90d(Product adoption) | 1.0k | Not available |
| GitHub stars(Product adoption) | 14,000+ | Not available |
| Search interest(Market interest) | 41 | 1 |
| Hacker News mentions, 90d(Community interest) | 14 | 6 |
| PyPI weekly downloads(Product adoption) | 5.8M | Not available |
| Stack Overflow questions(Community interest) | 1.6k | 22 |
| GitHub commits, 90d(Developer adoption) | Not available | 19 |
| GitHub stars(Developer adoption) | Not available | 137 |
| Product Hunt comments(Community interest) | Not available | 9 |
| Product Hunt rating(Community interest) | Not available | 5.0/5 |
| Product Hunt reviews(Community interest) | Not available | 1 |
| Product Hunt votes(Community interest) | Not available | 86 |
| PyPI weekly downloads(Developer adoption) | Not available | 17.8k |
As of November 9, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
dbt (data build tool)
November 9, 2026Package vulnerabilities
PyPI · dbt-core@1.12.6
0 vulnerabilities
across 1 package
Repository security score
github.com/dbt-labs/dbt-core
6.0/10
Fivetran
November 9, 2026Package vulnerabilities
PyPI · fivetran-connector-sdk@3.1.0
0 vulnerabilities
across 1 package
Repository security score
Not available
Interface Preview
dbt (data build tool)
Fivetran
Feature Comparison
| Feature | dbt (data build tool) | Fivetran |
|---|---|---|
| Data Pipeline Capabilities | ||
| Data Ingestion / Extraction | Not verified | Standard lists 700+ fully managed connectors |
| Data Transformation | Build data models by writing SQL; supports version control and CI/CD | Integration for dbt Core; transformation pricing uses monthly model runs |
| Change Data Capture (CDC) | Not verified | Not verified |
| Schema Evolution Handling | Not verified | Not verified |
| Platform and Deployment | ||
| Cloud IDE | Browser-based IDE and VSCode extension are listed on the pricing page | Not verified |
| Hybrid / Self-Hosted Deployment | Enterprise+ lists Hybrid Projects that run dbt in your own environment | Hybrid deployment is listed as an Enterprise option |
| API Access | API access is listed for Starter and above | Standard includes REST API access |
| Data Quality and Governance | ||
| Built-in Testing | Built-in testing and observability signals are documented | Not verified |
| Data Lineage | Catalog visualizes comprehensive lineage and metadata | Not verified |
| Security Compliance | Enterprise lists SSO, role-based access control, and SCIM provisioning | SOC 1, SOC 2, GDPR, HIPAA BAA, ISO 27001, PCI DSS Level 1, and HITRUST are listed |
| Collaboration and Ecosystem | ||
| Version Control | Version control and CI/CD are documented; Git version control is listed | Not verified |
| Community and Ecosystem | Public repository source is licensed under Apache 2.0 | Not verified |
| Semantic Layer | Defines consistent metrics for dashboards or LLMs | Not verified |
| AI and Automation | ||
| AI-Powered Features | dbt Wizard is listed as an analytics-engineering agent with per-token pricing | Not verified |
| Orchestration | Automates end-to-end pipelines; pricing lists job scheduling and monitoring | 15-minute syncs on Standard; 1-minute syncs on Enterprise |
Data Pipeline Capabilities
Data Ingestion / Extraction
Data Transformation
Change Data Capture (CDC)
Schema Evolution Handling
Platform and Deployment
Cloud IDE
Hybrid / Self-Hosted Deployment
API Access
Data Quality and Governance
Built-in Testing
Data Lineage
Security Compliance
Collaboration and Ecosystem
Version Control
Community and Ecosystem
Semantic Layer
AI and Automation
AI-Powered Features
Orchestration
How they fit together
dbt and Fivetran publish capabilities for different parts of a data workflow. dbt supports SQL-based transformation with version control and CI/CD, tests and observability, orchestration, Catalog lineage and metadata, and Semantic Layer metrics. Fivetran offers managed data movement, including 700+ fully managed connectors on its Standard plan, plus a dbt Core integration. Pricing also follows different models: dbt lists a $100-per-user-per-month Starter plan, while Fivetran publishes usage-based pricing.
What each one handles
Use dbt (data build tool) for:
Choose dbt when the workflow needs SQL-based data models, version control and CI/CD, proactive tests and observability, orchestration, Catalog context, or Semantic Layer metrics.
Use Fivetran for:
Choose Fivetran when the workflow needs managed movement from source systems to destinations, including its published managed connectors and usage-based plan structure.
These roles reflect the available product evidence. Most teams run both; which one owns a given job depends on your stack and team.
Frequently Asked Questions
Can dbt and Fivetran be used together?
Yes. Fivetran’s Standard plan includes an integration for dbt Core, while dbt provides SQL-based transformation, testing, orchestration, Catalog, and Semantic Layer capabilities. The published pages do not describe a required combined architecture, so confirm the integration and operational fit for the intended deployment.
Is dbt free to use?
dbt Labs’ public repository states that its source code is available under the Apache 2.0 license. The dbt pricing page also lists a free Developer plan with one Developer seat, 3,000 successful models built per month, and one project. Starter is listed at $100 per user per month; Enterprise and Enterprise+ list custom pricing.
How does Fivetran pricing work?
Fivetran publishes usage-based pricing. Its Free plan includes up to 500,000 monthly active rows for connections, 3,500 monthly active rows for activations, and 5,000 monthly model runs for transformations. The pricing page says each new connection has a 14-day free trial and publishes monthly-active-row pricing examples; confirm the applicable usage, plan, and contract terms.
Does Fivetran replace the need for dbt?
The products publish different capabilities: Fivetran offers managed connectors and a dbt Core integration, while dbt supports SQL transformation, testing, orchestration, lineage and metadata in Catalog, and consistent metrics through Semantic Layer. Whether both are needed depends on which of those capabilities the data workflow requires.
Which tool requires more technical expertise?
The published pages do not provide a like-for-like technical-expertise rating. dbt documents SQL development, version control, CI/CD, tests, orchestration, Catalog, and Semantic Layer; Fivetran documents managed connectors, REST API access, role-based access control, and deployment options. Evaluate the required workflow and administration model with the relevant product documentation.