Ready-to-use Snowflake reporting connector

With Whatagraph, you can visualize Snowflake data without writing a single line of code. After connecting your Snowflake account, select the table you want to report on and Whatagraph detects all available metrics and dimensions automatically.

Ask Whatagraph IQ to build a report from a prompt - describe the layout and the KPIs you need - and your dashboard is generated in seconds. No BI tools, no developer required.

Yes. With Whatagraph you can blend Snowflake with any connected marketing source, including Google Ads, Meta, LinkedIn, and 55+ other integrations.

Use the Data Hub to join your Snowflake data with paid media performance metrics and create unified reports across channels.

Your Snowflake marketing analytics sits alongside your campaign data in one place, not in a separate tool with a separate workflow.

Since Snowflake data warehouse is a bring-your-own-data integration, your available metrics depend entirely on the tables you've stored.

Whatagraph automatically detects numeric columns and makes them available as metrics (with SUM aggregation by default), and surfaces all string, date, and timestamp columns as filterable dimensions.

Whatever lives in your data warehouse tables - revenue, spend, sessions, conversions, leads - becomes reportable without writing a query. You can also add custom metrics using Whatagraph's formula builder.

If your team has already aggregated ad platform data, you can report on it directly in Whatagraph.

Connect to those tables, auto-detect the metrics and dimensions, build a report with IQ, and schedule automated delivery to your clients or stakeholders. No BI tool handoff, no data team dependency.

Whatagraph connects to 60+ native marketing integrations including Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Google Analytics 4, HubSpot, Salesforce, Klaviyo, and Shopify.

You can blend any of these with your Snowflake data for cross-channel Snowflake marketing reporting. Source groups and custom dimensions let you standardize naming conventions and attribution logic across every connected source.

No. Whatagraph replaces the BI (business intelligence) layer for your marketing and client reporting.

If you're currently routing Snowflake reports through Looker, Tableau, or Looker Studio, you're adding a tool that requires a data team to maintain and produces dashboards your clients can't navigate on their own.

With Whatagraph, you get client-ready, white-labeled reports that you and your account managers can own and update without any technical help.

BigQuery is typically the easier connection if your team is on Google Cloud, and it uses OAuth or service account credentials.

Snowflake requires key-pair authentication (RSA private key), which involves more setup steps and is the right choice if your stack is already built around Snowflake.

Both integrations are fully dynamic with no fixed schema, and both are available on the MAX pricing plan. If you're considering a snowflake to bigquery transfer, Whatagraph can also help move your marketing data to BigQuery for downstream use.

No. Snowflake is a cloud data warehouse, not an ETL tool.

It stores and queries structured data but doesn't extract or load data from source systems on its own.

You'd typically use ETL tools like Fivetran, dbt, or a custom pipeline to move data into Snowflake first.

Whatagraph then sits on top of Snowflake as your reporting layer, turning whatever data you've already landed there into dashboards and reports without any additional transformation work.

Yes. Whatagraph is fully GDPR compliant.

Yes. Once you connect Snowflake to Whatagraph, the reporting workflow runs automatically.

Whatagraph queries your Snowflake tables on a scheduled basis and keeps your reports up to date without manual refreshes.

Combine that with scheduled email delivery, live report links, and IQ Summaries that write themselves, and your entire workflow from data in Snowflake to insight in front of a client requires no manual intervention.