Comparison

dbt Core vs Meltano

No clear leader: dbt Core (65.7) and Meltano (63.4) 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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
dbt Core66
Meltano63
Score
vioscaleAI score
dbt Core66 / 100medium · 73%
Meltano63 / 100low · 36%
Pricing
Free tier
dbt Core✓
Meltano✓
Model
dbt Coreopen_source
Meltanofreemium
Price level
dbt Corefree
Meltanolow
Transparent
dbt Core✓
Meltano✓
Integrations
Count
dbt Core6
Meltano600
Reliability
Status page
dbt Core✓
Meltano–
Adoption
Dependent repos
dbt Core553
Meltano42
Github stars
dbt Core14,028
Meltano2,657
Package downloads weekly
dbt Core21,005,917
Meltano–
Activity
Commits last 30d
dbt Core100
Meltano91
Release
Cadence days
dbt Core2
Meltano7
History
dbt Core20 items
Meltano20 items
License
Spdx
dbt CoreApache-2.0
MeltanoMIT
Language
Primary
dbt CoreRust
MeltanoPython
Content
Faq
dbt Core8 items
Meltano7 items

Capabilities

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

Core
Tool role
dbt CoreTransformation
MeltanoELT / ingestion
Processing paradigm
dbt CoreBatch
MeltanoBatch + streaming
Connectivity
Connector count
dbt Core6+ named integrations with broader ecosystem
Meltano600+
CDC / log-based replication
dbt Core-
Meltano✓
Transformation
In-warehouse transformation (push-down)
dbt Core-
Meltano✓
dbt-native orchestration
dbt Core✓
Meltano✓
Deployment
Self-hosted / open-source available
dbt Core✓
Meltano✓
Managed cloud available
dbt Core✓
Meltano✓
Governance
Data lineage / asset catalog
dbt Core✓
Meltano-
Authoring
Python-first authoring
dbt Core-
Meltano-
Execution
Incremental / partition-aware runs
dbt Core-
Meltano✓
Quality
Built-in data quality / tests
dbt Core✓
Meltano✓
Scale
Horizontal scale (distributed executor)
dbt Core-
Meltano-

What each one is

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

dbt Core

A data transformation framework that applies software engineering principles—such as version control, testing, and modularity—to SQL-based analytics workflows.

Independently observed

Meltano

Meltano provides teams with an open-source data integration engine that orchestrates extraction, loading, and transformation from multiple sources. It supports various replication methods and includes automatic data quality monitoring, with flexibility to deploy either in a managed cloud environment or as self-hosted infrastructure.

Independently observed

Pricing

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

dbt Core

from $100/moHybridFree tier14-day trial

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
as of verify ↗

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 ↗

Platform & deployment

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

Platforms
Web
dbt Core✓
Meltano✓
macOS
dbt Core✓
Meltano✗
Windows
dbt Core✓
Meltano✗
Linux
dbt Core✓
Meltano✗
CLI
dbt Core✓
Meltano✓
Deployment
Cloud / SaaS
dbt Core✓
Meltano✓
Self-hosted
dbt Core✓
Meltano✓

Integrations

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

In common (2)
  • Snowflake
  • Databricks

dbt Core

6 total - 4 not shared
  • Tableau
  • Fivetran
  • OpenAI
  • Azure AI
Independently observed

Meltano

63 total - 61 not shared
  • Singer
  • dbt
  • Airflow
  • PostgreSQL
  • Great Expectations
  • Dagster
  • Superset
  • Slack
  • Salesforce
  • Google Analytics
  • BigQuery
  • dbt Cloud
  • HubSpot
  • Zendesk
  • Jira
  • Google Sheets
  • Amazon Redshift
  • MySQL
  • GitHub
  • GitLab
  • Freshdesk
  • Intercom
  • Apache Kafka
  • AWS S3
  • +37 more
Independently observed
Still deciding?

dbt Core or Meltano: 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.