DLT+ EARLY ACCESS
Upgrade your data platform with dlt+
dlt+ turns the pieces companies keep rebuilding in-house into modular components for scaling your Pythonic data platform. Now in early access for teams upgrading to Iceberg.
Modular
Many companies end up building the same components from scratch. Avoid high development and maintenance costs by using pre-built dlt+ modules to address common industry challenges.
Interoperable
The future of data engineering in the AI era is composable. dlt+ is the glue to stitch the data ecosystem together. Benefit from open standards, and avoid vendor lock-in.
LLM-first
We built dlt with LLMs in mind, the same principle applies for dlt+. With standardized components such as the YAML interface, building pipelines and whole data platforms with AI code editors becomes simple.
EARLY USE CASE
Vendor-free Iceberg
We're initially focusing on helping our customers modernize their infrastructure with Iceberg. Built on open standards, you can avoid vendor lock-in and lower your costs. dlt+ comes with full Pythonic Iceberg support and the necessary building blocks to perform a step by step upgrade of your infrastructure. Whether you're using Unity Catalog, Polaris or Lakekeeper as your catalog, paired with query engines like DuckDB or Snowflake, dlt+ supports it all.
Our initial dlt+ modules (in preview)
A better way to work together
In a dlt+ Project your whole team can work on dlt sources, destinations and pipelines in a standardized way via a YAML Project manifest. Enable collaboration in multidisciplinary teams and keep stakeholders aligned with a single source of truth.
