dltHub

Berlin company behind dlt, the open-source Python library data engineers use to build pipelines

Quick Overview

Company ScaleVector GmbH
Category ETL Tools Alternatives
Headquarters Berlin, Germany
EU Presence EU (Germany)
Data Location Managed workspaces can be pinned to the EU or the US; the control plane itself runs in AWS's Northern Virginia region regardless of which one is chosen, and customer pipeline data stays in the selected region
Open Source Yes
Compliance SOC 2 Type I; SOC 2 Type II and ISO 27001 in progress
Pricing dlt, the open-source Python library, is free under Apache 2.0; the managed dltHub platform starts at $12,000/month on a 12-month minimum commitment with 5,000 monthly credits included, plus a custom-priced Enterprise tier
Free Option 14-day free trial of dltHub with $30 in credits, no card required
Replaces Fivetran, Airbyte, custom Python ETL scripts

Detailed Review

Pros and Cons

Pros

  • Apache 2.0, free, no row or seat limits, on the open-source dlt library
  • Schema inference, nested JSON handling and incremental loading built in
  • 20+ destinations, and runs anywhere Python runs, including air-gapped
  • Workspace data can be pinned to the EU or the US
  • SOC 2 Type I certified, with Type II and ISO 27001 in progress

Cons

  • Managed dltHub platform starts at $12,000 a month, a 12-month minimum
  • Control plane runs in AWS Northern Virginia regardless of workspace region
  • A code library, not a managed connector catalogue — needs Python engineers
  • dlt only appeared in 2022, the shortest track record in this category

Alternatives to dltHub

See all ETL tools alternatives →

Frequently Asked Questions

What is dltHub?

dltHub is built around dlt, an open-source Python library — Apache 2.0, no seat limits, no row limits — that infers schemas, handles nested JSON, manages incremental loading and writes to more than twenty destinations, all from code a data engineer commits to Git rather than configures in a UI.

For a team that already writes Python for its pipelines and finds a connector catalogue a black box when something breaks, dlt is the opposite bet: transparent, debuggable, and free to run anywhere Python runs, including fully air-gapped.

Where is dltHub based?

dltHub operates from Berlin, Germany, which places it under EU (Germany). Compliance: SOC 2 Type I; SOC 2 Type II and ISO 27001 in progress.

What does dltHub cost?

dlt, the open-source Python library, is free under Apache 2.0; the managed dltHub platform starts at $12,000/month on a 12-month minimum commitment with 5,000 monthly credits included, plus a custom-priced Enterprise tier. 14-day free trial of dltHub with $30 in credits, no card required.

Who is dltHub best for?

Data engineers who want pipelines as code, not clicks. Code you own, not a black box: dlt is the only tool here built as an open-source Python library rather than a platform.

What are the drawbacks of dltHub?

Managed dltHub platform starts at $12,000 a month, a 12-month minimum. Control plane runs in AWS Northern Virginia regardless of workspace region. A code library, not a managed connector catalogue — needs Python engineers. dlt only appeared in 2022, the shortest track record in this category.

Who worked on this review

Three people touch every tool page: one writes it, a second edits it, and a third checks the compliance and pricing claims against the vendor's own documentation.

Marta Kowalczyk
Written by

Marta Kowalczyk

Senior Analyst, Infrastructure & Developer Tools · Warsaw, Poland

Covers hosting, developer tooling and the practical side of moving workloads to European providers.

Ingrid Halvorsen
Edited by

Ingrid Halvorsen

Managing Editor · Oslo, Norway

Runs the review process and decides when a page is ready to publish or needs another pass.

Daniel Brandt
Fact-checked by

Daniel Brandt

Privacy & Compliance Researcher · Berlin, Germany

Checks the compliance claims: where the company is established, where the data sits, and what the DPA actually says.

Read our editorial process for how we source, verify and update these pages — and how we keep affiliate income separate from what we recommend.

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