Sync Snowflake to ChartMogul

Measure, understand, and grow your recurring revenue by enriching key metrics with all the context from your warehouse

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Snowflake

Integration in Four Steps

Step 1: Connect Snowflake

Connect Snowflake with standard API and ODBC credentials.

Step 2: Connect ChartMogul as a destination

You can connect to ChartMogul by creating an API key in ChartMogul and providing it to Census in an intuitive interface.

Step 3: Define the core data that matters for your business

Write a SQL Statement. Select the records you want to sync from Snowflake. Census will match records based on the unique identifier you provide (like email or ID).

Step 4: Schedule your sync

Choose your sync frequency with options to transfer data continuously, on a schedule, or triggered via our API.

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Where can you sync your Snowflake in ChartMogul?

Customer

This object represents one of your customers in ChartMogul.

API Docs Description

Invoice

Invoices are crucial objects in ChartMogul. We auto-generate subscriptions and metrics from the information contained in these objects.

API Docs Description

Plan

This object represents a subscription billing plan for products or services that you offer your customers.

API Docs Description

Transaction

This object represents a payment or refund attempt on an invoice.

API Docs Description

A single source of truth in all your tools

Census is the easiest way to share a consistent view of your data across your entire business. Define your models, metrics, and business logic in your data warehouse and sync them to all your operational tools.

  • Create trust in consistent metrics
  • Automate confidently with clean data
  • Simplify your data integration strategy
  • Improve data security and visibility

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docker
bill
health-union
algolia
mixpanel
drizly
invision
rippling
Zip logo
figs

Advantages of Census

Build once. Reuse everywhere.

Once you define your models in dbt or in Census, you can sync them to all of the tools, so every team is using the same data to achieve their goals.

No more CSV files & Python scripts

Focus on building a data stack and improving data quality, not writing custom code to integrate with Sales & Marketing tools. Census takes care of getting the data into the hands of your business team. No Engineering favors required.

It just works. At scale.

Whether you sync 100 records or 100 million, we will keep your data in sync across your warehouse and your business tools. Census automatically navigates API failures and monitoring keeps you aware of worst case scenarios.

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Data Activation Use Cases

Syncing from Snowflake

Snowflake is a single, global platform that enables critical data workloads and serves a wide range of technology areas, including data integration, business intelligence, advanced analytics, and security & governance. Snowflake's Data Cloud is built on top of the Amazon Web Services, Google Cloud Platform, and Microsoft Azure cloud infrastructure. It provides support for programming languages like Go, Java, and more. In Snowflake's data analytics platform, you can build your complete customer data platform to build customer profiles to help you understand individual customers, providing specific information as well as overall trends, derived from analysis. Get these comprehensive unified customer profiles to sync them to your everyday business tools to build better customers experiences and grow business revenue.

Now you can use the data in Snowflake for more than just analytics and BI. With Amazon Snowflake you can operationalize your data across your entire customer data stack.

Learn how to use Census with 👉 our Snowflake docs

Syncing to ChartMogul

ChartMogul is a subscription analytics platform that helps SaaS companies automate reporting and optimize their business with subscription revenue data.

Learn how to use Census with 👉 our ChartMogul docs

Census connects to Snowflake and syncs data to ChartMogul. With 200+ integrations (and counting!) and transparent pricing, it's never been easier to start operationalizing your data. This is what we like to call Reverse ETL.
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