Introducing dltHub Pro: Claude/Codex/Cursor-native data engineering

dltHub Pro is a new platform designed to make data engineering accessible for Python developers by enabling agents to build and deploy data pipelines using a Claude/Codex/Cursor-native approach. This innovation allows developers, analysts, and AI enthusiasts to independently create and manage data workflows, significantly reducing reliance on specialized data teams. The platform supports rapid data ingestion and transformation, allowing users to build dashboards and analyses quickly from various data sources. dltHub Pro capitalizes on the growing trend of agents writing data pipelines, with the community production of these pipelines increasing from 2,400 to 81,000 per month within a year. The platform offers a modular, Python-first architecture with building blocks like DuckDB and Marimo, ensuring ease of use for individuals with varying technical expertise. As more organizations adopt it, dltHub Pro plans to expand its capabilities with dltHub Scale and dltHub Enterprise versions, catering to larger teams and more complex data engineering needs. The platform is available at a subscription cost, offering credits for managed infrastructure and supporting users with migration services if needed.