dlt vs Mage
On the evidence we track, dlt leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
dlt
LeaderA 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.
Mage
A platform combining AI orchestration, data validation, and automated issue resolution to manage and optimize production data workflows.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
dlt
LeaderFree 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
Mage
From $29/month (Starter). Free 7-day trial, no credit card required.
- Starter$29/month + $0.50 per CPU-hour. Includes 50 AI credits/month.
- Managed orchestration
- Alerts
- Monitoring
- Team$100/month. Includes 250 shared AI credits/month.
- Advanced controls
- Lineage
- Deployment workflows
- EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Salesforce
- BigQuery
- MySQL
- Slack
dlt
Leader- PostgreSQL
- HubSpot
- Snowflake
- Databricks
- MotherDuck
- DuckDB
- SQLite
- Amazon S3
- Google Cloud Storage
- Microsoft Azure
- SFTP
- Parquet
- Apache Delta
- Apache Iceberg
- DuckLake
- Pydantic Logfire
- Arize
- Langfuse
- LangChain
- OpenAI
- Apache Airflow
- Dagster
- AWS Lambda
- Marimo
- +18 more
Mage
- Apache Spark
- PySpark
- Kafka
- Stripe
- AWS EMR
- Kubernetes
- EHR systems
- Billing platforms
- Lab systems
- Clinical systems
- dbt
dlt or Mage: 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.