Snowflake
Mount the Blockworks share in your Snowflake account and query it with ordinary SQL.
Why a datashare
No ETL
Data is shared in place. You point your warehouse at the share and query it. Nothing
is copied into your account and nothing needs syncing.
Full SQL
Joins, window functions, aggregations, and CTEs against the full dataset, on your own
compute.
Joins with your data
Combine Blockworks datasets with your own tables in a single query: positions,
customers, internal metrics.
Your governance
Access is controlled through your own roles and grants, and queries run under your
account’s existing policies.
Datashare or Data API?
Both surface the same underlying data. The right choice is about access pattern, not content.These are complementary. A common pattern is research and model development against the
datashare, then serving the resulting product from the Data API.
Where the data comes from
Blockworks datasets are modeled in a Snowflake warehouse and version-controlled with dbt by the Blockworks data team. That warehouse is the single source of truth: the Data API serves a fast mirror of these models, and a datashare exposes them natively. Both reflect the same modeling and the same definitions.Other platforms
Snowflake is the platform we deliver today. If you work in Databricks, BigQuery, or another warehouse, tell us. Delivery to additional platforms is arranged case by case, and knowing what you need shapes what we build next.Contact Blockworks
Get in touch at blockworks.com/contact to discuss
datashare access or a platform we do not yet list.