Comparison

dlt vs Meltano

On the evidence we track, dlt leads this comparison with a composite score of 66/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

dlt full profile →Meltano full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

★dlt66

Meltano54

Attribute comparison across 2 tools
Attribute	dltLeader	Meltano
Vioscale score	66 / 100low · 49%updating	54 / 100low · 41%updating
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	commercial	commercial
Price levelpricing.price_level	low	low
Transparentpricing.transparent	✓	✗
Integrations
Countintegrations.count	28	8
Security
Disclosure policysecurity.disclosure_policy	✓	✓
Gdprsecurity.gdpr	✓	✓
Vulnerabilitiessecurity.vulnerabilities	Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dlt&per_page=100 · Last 12m: 0	Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=meltano&per_page=100 · Last 12m: 0
Reliability
Status pagereliability.status_page	✓	-
Adoption
Dependent reposadoption.dependent_repos	23	42
Github starsadoption.github_stars	5,779	2,609
Activity
Commits last 30dactivity.commits_last_30d	52	61
Release
Cadence daysrelease.cadence_days	12	3
Historyrelease.history	20 items	20 items
License
Spdxlicense.spdx	Apache-2.0	MIT
Language
Primarylanguage.primary	Python	Python
Market
Availabilitymarket.availability	Available worldwide · HQ DE	Available worldwide

Score

Vioscale score

dlt66 / 100low · 49%updating

Meltano54 / 100low · 41%updating

Pricing

Free tier

dlt✓

Meltano✓

Model

dltcommercial

Meltanocommercial

Price level

dltlow

Meltanolow

Transparent

dlt✓

Meltano✗

Integrations

Count

dlt28

Meltano8

Security

Disclosure policy

dlt✓

Meltano✓

Gdpr

dlt✓

Meltano✓

Vulnerabilities

dltCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dlt&per_page=100 · Last 12m: 0

MeltanoCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=meltano&per_page=100 · Last 12m: 0

Reliability

Status page

dlt✓

Meltano–

Adoption

Dependent repos

dlt23

Meltano42

Github stars

dlt5,779

Meltano2,609

Activity

Commits last 30d

dlt52

Meltano61

Release

Cadence days

dlt12

Meltano3

History

dlt20 items

Meltano20 items

License

Spdx

dltApache-2.0

MeltanoMIT

Language

Primary

dltPython

MeltanoPython

Market

Availability

dltAvailable worldwide · HQ DE

MeltanoAvailable worldwide

Capabilities

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

Capability comparison for Data Engineering Tools
Capability	dlt	Meltano
Core
Tool role	ELT / ingestion	ELT / ingestion
Processing paradigm	Batch + streaming	Batch + streaming
Connectivity
Connector count	5,000+	600+
CDC / log-based replication	✓	✓
Transformation
In-warehouse transformation (push-down)	✓	✓
dbt-native orchestration	-	✓
Deployment
Self-hosted / open-source available	✓	✓
Managed cloud available	✓	✓
Governance
Data lineage / asset catalog	✓	-
Authoring
Python-first authoring	✓	-
Execution
Incremental / partition-aware runs	✓	✓
Quality
Built-in data quality / tests	✓	-
Scale
Horizontal scale (distributed executor)	-	-

Core

Tool role

dltELT / ingestion

MeltanoELT / ingestion

Processing paradigm

dltBatch + streaming

MeltanoBatch + streaming

Connectivity

Connector count

dlt5,000+

Meltano600+

CDC / log-based replication

dlt✓

Meltano✓

Transformation

In-warehouse transformation (push-down)

dlt✓

Meltano✓

dbt-native orchestration

dlt-

Meltano✓

Deployment

Self-hosted / open-source available

dlt✓

Meltano✓

Managed cloud available

dlt✓

Meltano✓

Governance

Data lineage / asset catalog

dlt✓

Meltano-

Authoring

Python-first authoring

dlt✓

Meltano-

Execution

Incremental / partition-aware runs

dlt✓

Meltano✓

Quality

Built-in data quality / tests

dlt✓

Meltano-

Scale

Horizontal scale (distributed executor)

dlt-

Meltano-

What each one is

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

dlt

Leader

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

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

Pricing

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

dlt

Leader

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 2026-08-13verify ↗

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 2026-08-03verify ↗

Platform & deployment

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

Platform and deployment support comparison
Supports	dlt	Meltano
WebPlatforms	✓	✓
LinuxPlatforms	✗	✓
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✓	✓
Self-hostedDeployment	✓	✓
HybridDeployment	✓	✗

Platforms

Web

dlt✓

Meltano✓

Linux

dlt✗

Meltano✓

CLI

dlt✓

Meltano✓

Deployment

Cloud / SaaS

dlt✓

Meltano✓

Self-hosted

dlt✓

Meltano✓

Hybrid

dlt✓

Meltano✗

Integrations

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

In common (3)

PostgreSQL
Snowflake
Dagster

dlt

Leader

28 total - 25 not shared

Salesforce
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
OpenAI
Apache Airflow
AWS Lambda
Marimo
+1 more

Independently observed

Meltano

8 total - 5 not shared

Singer
dbt
Airflow
Great Expectations
Superset

Independently observed

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