vioscale
Comparison

dlt vs Prefect

No clear leader: Prefect (69.8) and dlt (66.1) 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.

dlt full profile →Prefect full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
dlt66
Prefect70
Score
Vioscale score
dlt66 / 100low · 49%
Prefect70 / 100high · 76%
Pricing
Free tier
dlt✓
Prefect✓
Model
Price level
dltlow
Prefecthigh
Transparent
dlt✓
Prefect✓
Integrations
Count
dlt28
Prefect5
Security
Disclosure policy
dlt✓
Prefect–
Gdpr
dlt✓
Prefect✓
Hipaa
dlt–
Prefect✓
Scorecard
dlt–
Prefect6.9
Soc2
dlt–
Prefect✓
Vulnerabilities
Reliability
Sla pct
dlt–
Prefect99.99
Status page
dlt✓
Prefect✓
Adoption
Dependent repos
dlt23
Prefect767
Github stars
dlt5,779
Prefect23,691
Package downloads weekly
dlt–
Prefect2,710,819
Activity
Commits last 30d
dlt52
Prefect100
Release
Cadence days
dlt12
Prefect1
History
License
Spdx
Language
Primary
dltPython
PrefectPython
Market
Availability

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 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.

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.

dlt

from $0.80/moHybridFree tier14-day trial

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
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
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 (1)
  • OpenAI

dlt

28 total - 27 not shared
  • Salesforce
  • PostgreSQL
  • HubSpot
  • Snowflake
  • 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
  • +3 more
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.