dlt (Data Load Tool) vs Weld

dlt is an open-source Python library: you write each pipeline in code and run it on your own infrastructure, scheduled by an orchestrator you operate. Weld is a managed platform where you set up connectors in a web app, and transformations, orchestration, lineage and reverse ETL are part of the same product. dlt gives you full control of the code; Weld takes the code and the hosting off your hands.

The library is free, so the software itself costs less than any Weld plan. You pay instead for the compute that runs your pipelines, the orchestrator that schedules them, and the engineering time to build, monitor and fix them, which depends on your team and is not something dltHub prices. If you want dlt managed for you, dltHub costs $12,000 a month on a 12-month minimum, against Weld plans from $99 a month.

Yes. dlt is licensed under Apache 2.0, free for commercial use, with unlimited pipelines that you manage yourself. The paid dltHub platform adds a managed runtime, observability, data quality checks and AI tooling, and starts with a 14-day trial with $30 in credits. Weld has no free plan; every plan starts with a 14-day free trial.

Yes, that is the default. dlt is a pip-installable library that runs anywhere Python runs, and dltHub publishes guides for GitHub Actions, Airflow on Cloud Composer, Dagster, Prefect, Kestra, Modal and Google Cloud Run. Weld runs as a managed cloud service only.

Only as code you write. dlt's custom destination calls a Python function with each batch of data, and you write the logic that pushes it to an API such as a CRM. There are no prebuilt activation connectors. Weld includes reverse ETL to tools such as Salesforce, HubSpot and Klaviyo in the same product.

Yes. dlt's dbt runner runs a dbt package in a virtual environment it creates, passing dlt's credentials along, and a dbt Cloud client can trigger dbt Cloud jobs. You still schedule the whole run yourself. Weld has SQL transformations built in, runs dbt Core and dbt Cloud projects, and orchestrates them with your syncs.

Yes. Weld's team helps you plan and run the migration, and your pipelines are recreated as Weld connectors. A source you built yourself in dlt can be rebuilt as a Weld custom connector against the same API.

Teams replacing dlt most often compare it with Weld, Airbyte, Meltano, Fivetran and Stitch. Weld fits teams that want ingestion, transformations, orchestration and reverse ETL in one product on a flat monthly tier; each of the others has its own comparison against Weld, linked on this page.