dbt Core vs dlt
No clear leader: dlt (66.1) 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.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
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.
dlt
A hosted service combining the open-source dlt Python library with managed infrastructure, observability, data quality testing, and team collaboration features for building and running data pipelines.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
dbt Core
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
dlt
From $1,190/month with 500 included credits. Free open-source tier. 14-day free trial with $30 credits.
- dltFree
- Apache 2.0 open-source license
- Code-first ingestion library
- Reliable ingestion and loading
- Limited verified OSS connectors
- AI help and community support
- +2 more
- dltHub$1,190/month base + $0.80–$1.00/credit for usage beyond 500 credits/month. 5% discount on annual commitment.
- Everything in dlt, plus:
- Managed runtime
- Hosted Marimo notebooks
- AI Workbench (Claude Code, Codex, Cursor)
- Data quality metrics and checks
- +6 more
- EnterpriseContact sales
- Custom credits and volume pricing
- Enterprise security and governance controls
- Role-based access control (RBAC) and audit logs
- SLA and tailored support options
- Custom onboarding and architecture guidance
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- OpenAI
- Snowflake
- Databricks
dbt Core
- Tableau
- Fivetran
- Azure AI
dlt
- Salesforce
- PostgreSQL
- HubSpot
- BigQuery
- MotherDuck
- DuckDB
- SQLite
- MySQL
- Amazon S3
- Google Cloud Storage
- Microsoft Azure
- SFTP
- Parquet
- Apache Delta
- Apache Iceberg
- DuckLake
- Pydantic Logfire
- Arize
- Langfuse
- LangChain
- Apache Airflow
- Dagster
- AWS Lambda
- Marimo
- +1 more
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.