Apache Airflow vs dlt
No clear leader: Apache Airflow (69.0) and dlt (64.7) 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.
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.
Apache Airflow
Apache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.
dlt
A 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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
dlt
Free 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
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.
- Microsoft Azure
- Databricks
- Snowflake
- Slack
- Salesforce
- PostgreSQL
- MySQL
- GitHub
- OpenAI
- SQLite
- ClickHouse
- Microsoft SQL Server
Apache Airflow
- Amazon Web Services
- Google Cloud Platform
- dbt Cloud
- Tableau
- MongoDB
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- Anthropic
- Cohere
- Pinecone
- Weaviate
- Qdrant
- Oracle
- Teradata
- Presto
- +25 more
dlt
- HubSpot
- BigQuery
- MotherDuck
- DuckDB
- Amazon S3
- Google Cloud Storage
- SFTP
- Parquet
- Apache Delta
- Apache Iceberg
- DuckLake
- Pydantic Logfire
- Arize
- Langfuse
- LangChain
- Apache Airflow
- Dagster
- AWS Lambda
- Marimo
- Hugging Face
- Postgres
- Redshift
- Athena
- Azure Storage
- +10 more
Apache Airflow or dlt: 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.