Business Intelligence

Snowflake X Cube

Put your warehouse data to work.

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Consolidate finances with a click

Consolidate and organize your data within Cube.


Forecast in a familiar environment

Channel your data into Microsoft Excel and/or Google Sheets so you can work where you work best.


Enjoy stress-free reporting

Create custom reports without worrying about data governance.

Welcome to FP&A without the busy work

Get out of the data entry weeds and into the strategy. Sign up for a free demo of Cube today.

Cube has allowed the team to spend more time analyzing the data and less time compiling data. We have our CRM, HRIS, financial, and budget data in one place and standardized for a fraction of the cost of several other solutions we looked at.

Robert Gilbert, VP of Finance

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Why integrate Snowflake with Cube

Go live in days, not months—startup or enterprise FP&A teams. No consultants required.

  • Comprehensive financial analysis

    Get a more comprehensive view of your performance by analyzing financial and non-financial data to gain deeper insights into the factors influencing financial outcomes.

  • Advanced reporting and analysis

    Perform complex financial modeling, scenario analysis, and predictive analytics.

  • Better collaboration

    Facilitate cross-functional collaboration between finance and other teams, allowing for more holistic financial planning and analysis.


Frequently asked questions

  • Why would I need Cube if I already have a data governance platform?
    While data governance platforms are essential for maintaining data quality and governance across the organization, Cube serves a specific purpose in finance. We empower finance teams with advanced analytics, financial planning capabilities, and business performance analysis. Both tools can complement each other, ensuring well-governed and reliable financial data for informed decision-making across the organization.
  • Are Cube and Snowflake redundant together?

    No. Cube is an FP&A tool focused on financial modeling, budgeting, forecasting, and business performance analysis. On the other hand, Snowflake is a data warehouse platform for managing and analyzing large volumes of structured and semi-structured data.


    They complement each other by sharing data. Cube utilizes Snowflake's data for financial analysis, and Cube's data can be sent to Snowflake to enhance the data warehouse. Integration depends on the customer's needs, enabling them to leverage both tools for better data-driven decisions.

  • What data can be transferred as part of a Snowflake and Cube integration?
    There are no limitations. Whatever data is in your Snowflake can be brought into Cube. 
  • Can the integration between Snowflake and Cube be customized to meet my business requirements?
    Yes, specifically for data categories and metadata—i.e., what data you bring and how you organize it in your model and structure. Reach out to a team member for how this works with custom integrations. 
  • What's the typical setup time for a Snowflake and Cube integration?
    Two to four weeks.

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