Case Studies
Trusted by leading teams
Learn how our customers transform legacy systems, cut costs and empower their teams to achieve data democracy.

Tasman Analytics prototypes a client's data pipeline in a single meeting with dltHub Pro
Tasman Analytics, a ~20-person data analytics consultancy, uses dltHub Pro to prototype client connectors in real-time — scoping in minutes instead of weeks — and shift from time-and-materials to fixed-price projects.

Powering the Energy Transition: How Vandebron Cut Data Workflow Complexity with dlt
Vandebron, a Dutch green-energy provider, rebuilt its complex ingestion stack in just one week using dlt, cutting costs, code, and runtime dramatically.

Grocery sensation Erewhon turns cultural buzz into business growth
A solo data team upskills into more advanced data engineering and finds a robust, reliable solution to data ingestion, building an “enterprise-grade” data operation.

Remerge's journey from manual processes to streamlined pipelines
Learn how Remerge moved away from manual spreadsheets by centralizing their data, creating a reliable single source of truth.

Artsy moves data faster
Artsy transforms their 10-year-old legacy system into a streamlined, customizable solution, dramatically reducing data extraction times.

Flatiron Health accelerates privacy-enhancing data processing
Learn how Flatiron Health cut 50% of their cost of ingestion and transformation pipelines using dlt (data load tool).
How insurance company Dentolo democratizes data access
Dentolo transforms its data ingestion process, empowers the team with a composable data stack and democratizes data access across the organization.
PostHog offers their users a scalable and inexpensive one-click data warehouse
PostHog builds a scalable, customizable data warehouse that seamlessly handles large datasets, and empowers their team to deliver a flexible and high-performing solution for users.

How Harness transformed 14 data pipelines in 14 days
Harness chooses dlt (data load tool) + sqlmesh to create an end-to-end next generation data platform.
Fintech Taktile builds a compliant data platform
How Taktile uses dlt (data load tool) + Snowflake for custom data needs and empowers all software engineers.
The current machine learning revolution has been enabled by the Cambrian explosion of Python open-source tools that have become so accessible that a wide range of practitioners can use them. As a simple-to-use Python library, dlt is the first tool that this new wave of people can use. By leveraging this library, we can extend the machine learning revolution into enterprise data.
