Case Study: Artemis Analytics achieves faster, cheaper onchain data streaming with Goldsky Mirror

How Artemis built the Bloomberg Terminal for stablecoins and crypto

Artemis Analytics, an analytics platform for institutional investors, faced significant challenges in scaling its access to reliable onchain data. Their previous data providers resulted in unpredictable costs, slow backfills, constant pipeline-breaking schema changes, and an inability to quickly support new blockchains. This operational complexity was hindering their growth.

Goldsky implemented its Mirror platform to provide Artemis with a modular, scalable data streaming solution. This gave Artemis full control over their data schema and delivery, enabling them to stream data directly into their own Amazon S3 buckets efficiently. The results were substantial: Artemis saved over $200,000 annually, achieved 99.99% uptime, and could spin up support for new chains in under a day. Goldsky's solution provided the cost efficiency, reliability, and rapid deployment Artemis needed to scale.

Artemis Analytics

Alex Kan

Engineering