Glassnode launches on Snowflake with 800+ on-chain metrics…

Glassnode has launched a native Snowflake Data Sharing integration, making it the first provider to deliver comprehensive on-chain analytics directly into the Snowflake ecosystem. Institutional teams can now query 800+ metrics across 1,700+ assets — including Bitcoin and Ethereum on-chain data, derivatives, ETF flows, and corporate treasury holdings — like any other table in their warehouse, with no custom API pipelines or ETL overhead.

Why it matters

Snowflake is the dominant data warehouse in institutional finance. Until now, plugging digital asset data into those environments meant bespoke ingestion pipelines, schema maintenance, and reconciliation lag — engineering overhead that competes directly with alpha generation. Glassnode's integration removes that friction entirely via Snowflake Marketplace private listings, letting quant and macro teams join on-chain signals with equity, fixed income, and macro datasets in a single SQL query layer.

The standout feature for systematic traders is point-in-time (PiT) data: Glassnode claims to be the first provider to offer historically immutable, append-only blockchain metrics on Snowflake. Each data point reflects only what was known at computation time, eliminating look-ahead bias from backtests — a critical requirement for any fund running systematic strategies on on-chain signals.

Market impact

The integration lowers the barrier for traditional institutional capital to incorporate on-chain analytics into live risk dashboards and systematic models, a structural tailwind for Bitcoin and Ethereum as investable assets. Coverage spans 10-minute, hourly, and daily resolutions, with futures open interest, funding rates, options implied volatility surfaces, and exchange flow breakdowns all included.