Glassnode
Glassnode has launched its full on-chain analytics suite inside Snowflake, becoming the first provider to deliver 800+ metrics across 1,700+ digital assets directly into institutional data warehouses via Snowflake Marketplace private listings. The integration covers Bitcoin, Ethereum, and a long tail of additional chains, spanning on-chain activity, derivatives, spot exchange flows, ETF holdings, and corporate treasuries — all queryable as native Snowflake tables, with 10-minute, hourly, and daily resolutions and full historical depth.
Why it matters
The pitch is workflow, not data: the integration lets quant and risk teams skip the custom API ingestion layer they have historically had to build to fold crypto signals into cross-asset research. Point-in-time (PiT) variants are append-only and historically immutable — each row carries the exact state of the data when it was computed, eliminating the look-ahead bias that has quietly corrupted a generation of crypto backtests. That distinction matters most for systematic desks whose performance attribution has to survive a compliance review, not just a backtest.
Market impact
For institutional adoption, the friction line is the practical one. Crypto-native funds that already run on Snowflake can now join Glassnode's entity-adjusted on-chain data, ETF flow series, and options surface against their own equity, fixed income, and macro tables in a single query layer — no middleware, no ingestion lag, no rate limits. The PiT guarantee is the structural bet: a Snowflake-native, audit-friendly crypto data set is the prerequisite for any allocator who needs on-chain signals to clear the same model-validation gate as a Bloomberg or MSCI feed. Glassnode positions the launch as a Professional-plan add-on, with a self-serve 14-day trial available directly through the Snowflake Marketplace listing.
Source: [Glassnode on Snowflake: Digital Asset Data Delivered Directly to your Warehouse — Glassnode Research – Digital Asset Market Intelligence](https://research.glassnode.com/glassnode-on-snowflake/)
Frequently asked questions
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What did Glassnode launch on Snowflake?
Glassnode launched its full on-chain analytics suite on Snowflake via Snowflake Marketplace private listings, delivering 800+ metrics across 1,700+ digital assets as native warehouse tables, with full historical depth at 10-minute, hourly, and daily resolutions.
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Why does the Snowflake integration matter for institutional crypto research?
It removes the custom API ingestion and ETL layer that institutional quant and risk teams have historically had to build, letting them join Glassnode's entity-adjusted on-chain, derivatives, and ETF flow data against their own cross-asset tables in a single query layer.
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What is point-in-time (PiT) data and why is it significant?
PiT datasets are append-only and historically immutable, with each row timestamped to reflect exactly what was known when the data point was computed. This eliminates look-ahead bias in backtests caused by retroactive clustering or labeling revisions, making crypto research outputs audit-ready.
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Which asset classes and metrics does the Snowflake listing include?
Coverage spans on-chain analytics (address activity, exchange flows, miner metrics, supply dynamics), derivatives (futures, funding rates, options), spot and exchange balances, plus Bitcoin and Ethereum ETF flows, AUM, and corporate treasury holdings.
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How can institutions access Glassnode on Snowflake?
Glassnode on Snowflake is available as an add-on to the Professional plan, with a 14-day self-serve trial accessible directly through the Snowflake Marketplace listing, and full data shares provisioned by the Glassnode institutional team.
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