Business Intelligence

Snowflake X Cube

Put your warehouse data to work.

Free demo see pricing

Plow through your to-do list.

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.

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.

Results from teams who got their data under control

“Now with Cube, we spend more than half our time on strategic work—partnering with the business instead of cleaning up the numbers.”

James Mann

CFO

As Cube is based in Excel, it is easy to look at things in different ways to quickly analyze data or change the drivers of your forecast.

Lauren O'Connor

Director of FP&A

FREQUENTLY ASKED QUESTIONS

FAQS

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.

Stop Cleaning Data.  Start Driving the plan.

With Cube, finance teams can focus on what matters—guiding the business forward with speed, precision, and confidence.

Get a demo

Business Intelligence

Snowflake X Cube

Plow through your to-do list.

Why integrate Snowflake with Cube

Comprehensive financial analysis

Advanced reporting and analysis

Better collaboration

Results from teams who got their data under control

FAQS

Stop Cleaning Data. Start Driving the plan.

Stop Cleaning Data.  Start Driving the plan.