SQL access to Quartr data, directly in Snowflake
Query Quartr data directly in your data warehouse.What it is
The financial data your team already relies on – event transcripts, filings, slide presentations, and more – now available as a fully queryable SQL database in your Snowflake environment. No pagination. No rate limits. No integration code.
Same data. New delivery.
Quartr on Snowflake is not a new product. It's a new way to access the datasets you already subscribe to — as a SQL database shared directly into your Snowflake environment.Your data team can query it alongside your other Snowflake data sources, with no custom pipelines, no API client code, and no learning curve.What it's not- Not a replacement for the REST API — it's additive
- Not real-time streaming — data syncs on a schedule
- Not a self-service analytics tool – bring your own stack
- Not an extra charge — included in your existing data subscription.
Built around the limits you've already hit
If you use our API today, these are familiar. Snowflake removes all of them.API todayPagination slows bulk work downBulk data pulls require managing 500-item pages, looping requests, and stitching results.
→ With SnowflakeUse SQL to query all Quartr datasets with full flexibility. No Pagination, no loops, no state to manage.
API todayBuilding and maintaining a pipelineIngesting Quartr data into your warehouse requires an integration layer you have to build and keep running.
→ With SnowflakeData is shared directly into your Snowflake account. No ingestion pipeline. No maintenance.
API todayJoining datasets needs multiple callsCross-referencing companies, events, transcripts, and filings means multiple endpoints and custom aggregation logic.
→ With SnowflakeWrite a single SQL JOIN across any combination of datasets. Full relational flexibility.
API todayRate limits constrain scaleHigh-volume workloads hit rate limits, requiring throttling logic and retry handling in application code.
→ With SnowflakeNo rate limits. Run queries as large and as frequently as your workflow demands.
Everything in the Quartr API, in SQL
All datasets available through our REST API are available via Snowflake. Data stays in sync automatically – when we publish new transcripts, events, or filings, they appear in your Snowflake environment without any action on your part.Full schema documentation and query examples are available at quartr.dev.Get started in three steps
- Get your account identifier. You'll need an active Snowflake account and ACCOUNTADMIN role. Run a query to retrieve your full Snowflake account identifier and share it with your Quartr representative to request access.
- Accept the private listing. Once provisioned, navigate to the Snowflake Marketplace, search for Quartr, and click Get to create a database from the shared data. A visual setup guide is included in the listing.
- Start querying. Query immediately using standard SQL alongside your existing Snowflake data. The data model mirrors our REST API — full schema documentation and query examples are included in the listing.
Common questions
- Does this cost extra? No. Snowflake delivery is included in your existing data subscription. You pay for datasets, not delivery methods. You do run queries on your own Snowflake compute.
- How fresh is the data? Data is refreshed daily by default. More frequent sync intervals are available on request. For real-time needs, webhooks remain the best option.
- Can we use both the API and Snowflake? Yes. Many clients use Snowflake for bulk analysis and historical research, and the API for real-time, event-driven workflows. They complement each other.
- Is there documentation? Yes. Full schema documentation and integration guides are available at quartr.dev.
- Can we trial the data first? Yes. The Marketplace listing includes a sample dataset with real documents so you can assess coverage and quality before committing — no sales call required.