Comparison

Meltano 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 formatsJSONMarkdownGraphQLor send Accept: application/json
Meltano54
Prefect70
Score
Vioscale score
Meltano54 / 100low · 41%updating
Prefect70 / 100high · 76%updating
Pricing
Free tier
Meltano
Prefect
Model
Meltanocommercial
Prefectcommercial
Price level
Meltanolow
Prefecthigh
Transparent
Meltano
Prefect
Integrations
Count
Meltano8
Prefect5
Reliability
Sla pct
Meltano
Prefect99.99
Status page
Meltano
Prefect
Adoption
Dependent repos
Meltano42
Prefect767
Github stars
Meltano2,609
Prefect23,691
Package downloads weekly
Meltano
Prefect2,710,819
Activity
Commits last 30d
Meltano61
Prefect100
Release
Cadence days
Meltano3
Prefect1
History
Meltano20 items
Prefect20 items
License
Spdx
MeltanoMIT
PrefectApache-2.0
Language
Primary
MeltanoPython
PrefectPython
Market
Availability

Capabilities

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

Core
Tool role
MeltanoELT / ingestion
PrefectOrchestrator
Processing paradigm
MeltanoBatch + streaming
PrefectBatch
Connectivity
Connector count
Meltano600+
PrefectNot specified
CDC / log-based replication
Meltano
Prefect-
Transformation
In-warehouse transformation (push-down)
Meltano
Prefect-
dbt-native orchestration
Meltano
Prefect
Deployment
Self-hosted / open-source available
Meltano
Prefect
Managed cloud available
Meltano
Prefect
Governance
Data lineage / asset catalog
Meltano-
Prefect
Authoring
Python-first authoring
Meltano-
Prefect
Execution
Incremental / partition-aware runs
Meltano
Prefect
Quality
Built-in data quality / tests
Meltano-
Prefect-
Scale
Horizontal scale (distributed executor)
Meltano-
Prefect

What each one is

The product in its own terms, so the numbers below have context.

Meltano

Meltano provides a code-first approach to data integration, offering 600+ pre-built connectors with compute-time pricing and integrated governance. It enables teams to combine data extraction, loading, and transformation workflows with native dbt support and orchestration capabilities.

Independently observed

Prefect

Leader

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.

Meltano

HybridFree tier

Free open-source version. Managed cloud plans from Starter (200 compute hrs/mo) to Enterprise (unlimited). Pay for compute, not rows.

  • Starter-
    • 200 compute hours/mo
    • Managed infrastructure
    • 25 workspaces
    • Unlimited users
    • 600+ connectors
    • +5 more
  • Growth-
    • 2000 compute hours/mo
    • Everything in Starter
    • 100 workspaces
    • 8 hours of engineering on demand/mo
    • Shared account management
  • Scale-
    • 5000 compute hours/mo
    • Everything in Growth
    • Unlimited workspaces
    • 15 hours of engineering on demand/mo
    • Dedicated account management
    • +1 more
  • EnterpriseContact sales
    • Unlimited compute hours/mo
    • Everything in Scale
    • Custom connectors
    • Custom hours of engineering on demand/mo
    • Custom SLA
as of verify ↗

Prefect

Leader
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
Meltano
Prefect
Linux
Meltano
Prefect
CLI
Meltano
Prefect
Deployment
Cloud / SaaS
Meltano
Prefect
Self-hosted
Meltano
Prefect
Hybrid
Meltano
Prefect

Integrations

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

In common (1)
  • dbt

Meltano

8 total - 7 not shared
  • Singer
  • Airflow
  • PostgreSQL
  • Snowflake
  • Great Expectations
  • Dagster
  • Superset
Independently observed

Prefect

Leader
5 total - 4 not shared
  • Pydantic AI
  • OpenAI
  • AWS Secrets Manager
  • HashiCorp Vault
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.