Most teams running on Snowflake hit the same wall at reporting time. The data lives in the warehouse, the QBR or board deck lives in Google Slides, and nothing connects the two. Snowflake is built to query and store data, not to present it, so getting those numbers onto a slide falls to a person, every cycle, by hand. For customer success and RevOps teams, that's where the hours go. This post covers every practical way to get Snowflake data into Google Slides, what each method is good for, and how to choose based on how often you build the deck.

The short version: Google Slides cannot connect to Snowflake directly, so every method routes through Google Sheets first. Unlike BigQuery, Snowflake has no native Connected Sheets integration with Google Workspace, which means there is always a middle step and usually a person doing it.

How to Get Snowflake Data into Google Sheets: 3 Methods

Google Slides can reference a chart from Google Sheets, so Sheets is the bridge. There are three reliable ways to get Snowflake data into a sheet:

1. Manual CSV export. Run your query in Snowsight, export the results as CSV, and import the file into Google Sheets. This method is free and requires no setup, which makes it the right choice for a one-time pull. It becomes repetitive the moment the report recurs, because every refresh means running the whole sequence again.
2. A spreadsheet add-on. Tools like Coefficient and Superjoin, both available in the Google Workspace Marketplace, connect Sheets to Snowflake and let you import data through a table picker or a custom SQL query. These add-ons can auto-refresh on a schedule, which makes them the most accessible automated option for non-engineers. The trade-off is that you are adding a third-party tool to your stack.
3. Google Apps Script. Apps Script can connect to Snowflake through a JDBC driver and pull data programmatically. This method is free and fully customizable, but it is code that you write, own, and maintain over time.

How to Get Snowflake Data from Sheets into Google Slides

Once your data lives in Google Sheets, the most useful native option is a linked chart. When you insert a chart from Google Sheets into Google Slides, Slides keeps it linked to the source: any time the sheet updates, an "Update" button appears and refreshes the visual with one click. For a single recurring report with one or two charts, this is the simplest way to keep a deck current.

The linked-chart approach has three real limits worth knowing before you rely on it:

• It only covers charts. Tables, narrative text, and the written takeaways a real review deck needs are not included.
• You still own the refresh. Someone has to maintain the underlying sheet and click to update each visual.
• It breaks when the data shape changes. If the structure of your results changes, you rebuild the affected slides by hand.

Why Manual Snowflake to Google Slides Reporting Doesn't Scale

Every native option mentioned above shares the same design assumption that you are updating one existing deck, one visual at a time. That assumption is what makes manual reporting so slow. The work that actually consumes your week is not updating a single chart, but it is generating the entire presentation correctly for one audience, then generating it again for the next account, segment, or region.

This is the difference between editing a deck and producing one at scale, and it is where the native tools run out of room.

Automating Snowflake to Google Slides Reports with Matik

Matik closes the gap between editing one deck and producing many by connecting directly to Snowflake and generating the entire Google Slides deck from your data, not just the charts on it. It populates charts and tables directly from your query results, then uses AI to write the narrative around them, such as the insights, summaries, and takeaways that explain what the numbers mean. You build the deck once as a template, map each element to a query, and generate as many versions as you need.

Three capabilities make this practical for teams reporting out of Snowflake:

• Basic Automation pulls text and visuals directly from your Snowflake data to generate ready-to-share Google Slides content.
• Smart Automation applies if-then logic to ensure the right message and insights are shared based on the data and audience. Specific slides appear or are excluded automatically depending on the data values. For example, a customer with no expansion signal never gets an expansion slide.
• Workflow Automation generates insight-rich content in bulk or on a schedule, producing account-specific or segment-specific versions of the same report in a single run rather than one export at a time.

For a customer success or operations team building QBRs and recurring business reviews from a Snowflake source, this turns a half-day of manual assembly into a single generation job.

Which Method Is Best for Pulling Snowflake Data into Google Slides?

The right method depends on one question: how many times will you build this deck?

• Once or twice: Use the manual flow. Export your query to a Google Sheet, build your charts, and link them into Slides. The linked-chart refresh will carry you further than you would expect.
• Recurring but light: Add a spreadsheet connector like Coefficient so the sheet stays current on its own, then rely on linked charts for the visuals.
• Recurring across many audiences: Stop assembling decks by hand and generate the full presentation from Snowflake, so it rebuilds itself with current data every time.

The manual workflow is not wrong; it simply does not scale. Most of the frustration teams blame on Snowflake or Google Slides is really the cost of doing a generation task by hand. Automate that part, and both tools go back to doing what each does well.

See how Matik connects to Snowflake