Glassnode Brings On-Chain Data to Snowflake for Institutional Traders

Blockchain analytics firm Glassnode has unveiled its integration with Snowflake, allowing institutions to access over 800 on-chain metrics across 1,700+ digital assets directly in their data warehouses. This move positions Glassnode as the first provider to deliver comprehensive on-chain analytics via Snowflake, streamlining workflows for quantitative traders, portfolio managers, and compliance teams.

For institutions, this integration eliminates the need for custom API pipelines, ETL (extract, transform, load) jobs, and manual data updates—reducing operational overhead and allowing teams to focus on alpha generation. The data arrives in Snowflake as fully queryable tables, offering point-in-time (PiT) historical accuracy for high-fidelity backtesting.

What’s Included

The Snowflake integration provides access to the same data powering research at leading crypto-native institutions. Key offerings include:

• On-Chain Analytics: Metrics on address activity, supply dynamics, exchange flows, miner behavior, and more across Bitcoin, Ethereum, and other assets.
• Derivatives Data: Expanded coverage of futures, options, and implied volatility metrics for professional-grade analysis of market structure and risk.
• Spot & Exchange Data: Real-time exchange inflows/outflows and venue-level capital rotation insights.
• ETF & Corporate Treasury Analytics: Bitcoin and Ethereum ETF flows, AUM trends, and corporate holdings tracking.
• Granular Resolutions: Data granularity ranging from 10-minute intervals to daily aggregates, enabling both short-term trading signals and macro research.

Why It Matters

Institutional adoption of crypto hinges on data quality and accessibility. Glassnode's Snowflake integration eliminates barriers by delivering trusted blockchain data directly into existing institutional workflows. This is particularly critical for hedge funds, prop shops, and asset managers running quantitative strategies or managing multi-asset portfolios. Snowflake’s native governance and audit logging features further enhance compliance, addressing regulatory concerns in an evolving crypto market.

One standout feature is the introduction of PiT metrics, which ensure that historical data reflects the exact state of information available at the time of computation. This eliminates "look-ahead bias," a common pitfall in backtesting that can lead to overfitted trading models. As the only provider offering PiT blockchain data in Snowflake, Glassnode sets a new benchmark for data integrity in the digital asset space.

Institutional Impact

Glassnode’s integration aligns with broader institutional trends observed throughout 2026. The year has seen increased demand for advanced derivatives data, as evidenced by Glassnode’s recent launches, including its Gamma Exposure tool and expanded options analytics. Additionally, the firm’s ETF metrics and cross-exchange (CEX) analytics continue to gain traction among institutional clients looking to monitor market sentiment and liquidity dynamics in real time.

Getting Started

Institutions interested in leveraging this integration can request access via Snowflake Marketplace or directly through Glassnode’s sales team. The setup process involves provisioning access to Snowflake listings, after which data is live and updates flow automatically. Trial versions offer limited historical depth but can be upgraded for extended access.

For firms aiming to integrate crypto into cross-asset frameworks or build systematic trading models, this partnership represents a significant step forward in blockchain data usability. Glassnode’s nearly decade-long focus on institutional-grade analytics continues to make it a key player in the rapidly evolving digital asset industry.