Case Study: Artemis achieves scalable crypto market reporting with Dagster Labs

Artemis built a data platform around Dagster+ to bring consolidated reporting to the $2.5T Cryptocurrency markets

Artemis, a premier institutional data platform for crypto markets, faced challenges with their previous data orchestration tool, Apache Airflow, which was unreliable and difficult for their team of data engineers and scientists to use. The platform struggled with debugging, data lineage, and lacked a tight dbt integration, hindering their ability to efficiently aggregate and report on billions of dollars worth of complex cryptocurrency data for their thousands of customers. They sought a more intuitive and robust solution from vendor Dagster Labs.

Artemis implemented Dagster+ as their core orchestration platform. The Dagster framework, with its software-defined assets and built-in I/O managers, provided superior data lineage, cataloging, and a more accessible interface for their team. By moving to the hosted Dagster+ service, Artemis streamlined their data operations, enabling them to support massive data volumes and scale for future growth. This empowered them to reliably serve cleansed, structured crypto data to a wide range of clients through their terminal, API, and data shares.

Artemis

Alex Kan

Software Engineer