Comparison

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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
dlt65
★Prefect70
Score
vioscaleAI score
dlt65 / 100low · 46%
Prefect70 / 100high · 76%
Pricing
Free tier
dlt✓
Prefect✓
Model
Price level
dlthigh
Prefecthigh
Starting price
Prefect$100
Transparent
dlt✓
Prefect✓
Integrations
Count
Prefect6
Reliability
Sla pct
dlt–
Prefect99.9
Status page
dlt✓
Prefect✓
Adoption
Dependent repos
dlt23
Prefect767
Github stars
Prefect23,966
Package downloads weekly
dlt–
Prefect2,710,819
Activity
Commits last 30d
dlt36
Prefect98
Release
Cadence days
dlt12
Prefect1
History
License
Spdx
Language
Primary
PrefectPython
Content
Faq
Prefect7 items

Capabilities

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

Core
Tool role
dltELT / ingestion
PrefectOrchestrator
Processing paradigm
dltBatch + streaming
PrefectBatch
Connectivity
Connector count
dlt5,000+
PrefectNot specified
CDC / log-based replication
dlt✓
Prefect-
Transformation
In-warehouse transformation (push-down)
dlt✓
Prefect-
dbt-native orchestration
dlt✓
Prefect✓
Deployment
Self-hosted / open-source available
dlt✓
Prefect✓
Managed cloud available
dlt✓
Prefect✓
Governance
Data lineage / asset catalog
dlt✓
Prefect✓
Authoring
Python-first authoring
dlt✓
Prefect✓
Execution
Incremental / partition-aware runs
dlt✓
Prefect✓
Quality
Built-in data quality / tests
dlt✓
Prefect-
Scale
Horizontal scale (distributed executor)
dlt-
Prefect✓

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.

Independently observed

Prefect

Leader

A 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.

Independently observed

Pricing

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

dlt

from $12000/moHybridFree tier14-day trial

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
as of verify ↗

Prefect

Leader
from $100/moSubscriptionFree tier

Free 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
as of verify ↗

Platform & deployment

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

Platforms
Web
dlt✓
Prefect✓
CLI
dlt✓
Prefect✓
Deployment
Cloud / SaaS
dlt✓
Prefect✓
Self-hosted
dlt✓
Prefect✓
Hybrid
dlt✓
Prefect✓

Integrations

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

In common (4)
  • Snowflake
  • OpenAI
  • Slack
  • GitHub

dlt

46 total - 42 not shared
  • 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
Independently observed

Prefect

Leader
14 total - 10 not shared
  • Pydantic AI
  • AWS Secrets Manager
  • HashiCorp Vault
  • dbt
  • Redis
  • Kubernetes
  • Amazon ECS
  • Docker
  • Google Cloud Run
  • AWS
Independently observed
Still deciding?

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.