dlt vs Prefect
On the evidence we track, Prefect leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
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.
dlt
A managed platform that enables teams to build, deploy, and monitor data pipelines with AI assistance, built on the open-source dlt library. It provides runtime management, observability, data quality monitoring, and team collaboration features for moving data from any source to any destination.
Prefect
LeaderA Python-native workflow automation platform that handles scheduling, retries, caching, and recovery for data pipelines and AI agent workflows, with both cloud-managed and self-hosted execution options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
dlt
Free open-source tier. Hub plan from $12,000/month with 5,000 included credits. Tiered overage pricing. 14-day free trial.
- dltFree
- Open source ingestion library
- Reliable ingestion and loading
- Limited verified OSS connectors
- AI help and community support
- Hub$12,000/month with 5,000 credits included. Tiered overage pricing: $1.00–$0.80 per credit depending on volume.
- Everything in dlt
- AI Harness (Claude Code, Codex, Cursor)
- Managed runtime for ingestion
- Transformations & Data apps
- Data quality metrics & checks
- +18 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
Prefect
LeaderFree Hobby tier. Starter from $100/month. Team per-user monthly pricing. Enterprise custom quote.
- HobbyFree
- Workflow scheduling
- Up to 5 deployments
- 500 minutes of Prefect Serverless
- Workflow observability
- Logging & alerting
- +1 more
- Starter$100/mo
- All Hobby features
- Up to 20 deployments
- 75 hours of Prefect Serverless
- Bring your own compute
- Webhooks
- +1 more
- Team-
- All Starter features
- Up to 100 deployments
- 225 hours of Prefect Serverless
- Service accounts
- 24 hour audit log
- EnterpriseContact sales
- All Team features
- SSO (SAML/OIDC)
- RBAC + ACLs
- Multiple workspaces
- Directory Sync (SCIM)
- +2 more
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.
- Snowflake
- OpenAI
- Slack
- GitHub
dlt
- Salesforce
- PostgreSQL
- HubSpot
- Databricks
- 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
- +18 more
Prefect
Leader- Pydantic AI
- AWS Secrets Manager
- HashiCorp Vault
- dbt
- Redis
- Kubernetes
- Amazon ECS
- Docker
- Google Cloud Run
- AWS
dlt or Prefect: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.