dlt

“dlt has enabled me to completely rewrite all of our core SaaS service pipelines in 2 weeks and have data pipelines in production with full confidence. We also achieved data democracy for our data platform. Our product, business, and operation teams can independently satisfy a majority of their data needs through no-code self-service. The teams built multi-touch attribution for how Harness acquires customers, and models for how Harness customers utilize licenses. If the teams want to build anything else to push the company forward, they don't need to wait for permission or data access to do it.”

dlt

“It was easy to adopt dlt by our data and application teams. It follows good engineering practices, has open source code and the documentation allows our engineers to self serve and solve most of the problems. With the help of dlt, we were able to reduce the costs of some of pipelines by up to 50%.”

dlt

“Data democracy for our product, business, and operation teams means that they can independently satisfy a majority of their data needs through no-code self-service. If the teams want to build anything else to push the company forward, they don't need to wait for permission or data access to do it. All kinds of new reporting is being done that wasn't possible before.”

dlt

“We at Untitled Data Company create new data pipelines for our customers all the time. We are now using dlt's new REST API toolkit in consulting projects. The toolkit allows us to build data pipelines in very little time and very little code. This proves to be great for us as well as our customers as they can easily maintain the data pipelines by anyone who knows Python on their end.”

dlt

“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.”

dlt

“Python and machine learning under security constraints are key to our success. We found that our cloud ETL provider could not meet our needs. dlt is a lightweight yet powerful open source tool we can run together with Snowflake. Our event streaming and batch data loading performs at scale and low cost. Now anyone who knows Python can self-serve to fulfil their data needs.”

dlt

“Our tests have proven that dlt meets our requirements regarding performance, customization and data privacy. It fits easily into our existing hosting and security infrastructure making the production rollout cost effective. The team behind dlt has a culture of supporting enterprise customers and we were able to get help and advice quickly.”

“I am not a data engineer. But with dltHub, I was able to add Continue's top GitHub contributors to our website. The whole path from creating a dlt pipeline with an MCP, fixing data quality issues, and getting it to run was so seamless that I didn't need any help from infra colleagues.”