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The Definitive Guide to the Snowflake Marketplace

Learn how data consumers and data providers are leveraging the Snowflake Marketplace to build data products and enrich their Snowflake data with third-party datasets.

Leonie van der Sleen.

Leonie van der Sleen

March 30, 2023

7 minutes

Snowflake Marketplace
  • 360-Degree Customer View: Create a complete 360-degree view of your customer and enrich your Snowflake data with additional external datasets.
  • Weather: Access specific weather and regional climate data for analysis and predictions (e.g., how does the weather influence buying behavior and delivery times, etc.?)
  • Financial: Leverage business performance and market insights to power analysis and decision-making (e.g., How is a specific target market doing? Does it make sense to expand? Why are sales numbers dropping?)
  • Demographics: Use demographic data such as individual and household characteristics per country and region to understand and predict behavior.
  • Geospatial: Enrich your existing Snowflake data using geographic location data such as zip codes and addresses or geographic patterns to estimate demand.
  • Snowflake Marketplace Product Categories

    Snowflake Marketplace Product Categories

    Note: The Snowflake Marketplace also offers many other datasets for specific industries such as the public sector, energy, health, life sciences, legal, and leisure like sports, travel, or tourism.

    Free Datasets

    The Snowflake Marketplace offers access to many free data sets. Here’s a list of some of the best free datasets to play around with in Snowflake.

    Snowflake Marketplace Data Providers

    Snowflake Marketplace Data Providers

    • COVID-19 Epidemiological Data: This dataset from StarSchema gives easy access to relevant COVID-related data like case counts, testing data, hospitalization rates, vaccination information, etc.
    • Economy Data Atlas: This dataset from Knoema provides insight into the global economic, financial, and macroeconomic insights that shape market trends.
    • Global Weather & Climate Data for BI: This dataset from Weather Source includes weather data from 1,000 random US Zip codes and data from six international city centers with access to 15-day forecast data and climatology data.
    • US Open Census Data & Neighborhood Insights: This giant dataset from SafeGraph includes 7500+ attributes from an American survey done in 2019. This data includes everything from race, ethnicity, sex, age, transportation, income, marital status, etc.

    Data Tools

    Even though the Snowflake Marketplace started as a Data Marketplace, it is not solely for sharing data sets anymore. The entire philosophy of creating the modern data stack is to keep your data in a central place and use best-of-breed technologies around it to collect, enrich, model, visualize, or activate data in the way that makes the most sense for your business objectives.

    To achieve this goal, Snowflake partners with many different technology companies to help you seamlessly integrate the Data Cloud with other technologies.

    Snowflake Marketplace Data Products

    Snowflake Marketplace Data Products

    Here are a few examples some of the most popular best-in-breed partners available on the Marketplace:

    • Hightouch: Hightouch is a Data Activation platform that helps you move data out of Snowflake and sync it to the operational tools your business teams rely on. Within Hightouch Customer Studio, non-technical users can granularly build and configure audiences and sync them to 140+ different destinations for activation.
    • Monte Carlo: Monte Carlo is a data observability platform that helps notify your data teams about issues of data freshness, distribution, volume, schema, and lineage across their data ecosystem to help detect, prevent, and resolve data downtime.
    • CARTO: Carto is a location intelligence platform that allows you to smartly use spatial data in Snowflake to carry out spatial analysis and visualize your data.
    • Heap: Heap automatically collects, organizes, and sends behavioral data from websites and applications to Snowflake. Once in Snowflake, you can use this behavioral data and combine it with user data or other relevant (third-party) datasets to improve your user understanding and create user segments for marketing purposes.
    • Amplitude: Amplitude is a product intelligence platform that tracks and helps understand user behavior so teams can build more engaging customer experiences and products.
    • Mixpanel: Mixpanel is a product analytics platform that helps you analyze your user data to build better products to acquire, convert, and retain users across your web and mobile platforms.

    Data Sharing

    There are four ways to share data in Snowflake, all of which utilize Snowflake’s native data-sharing capabilities.

    • Direct share: Direct sharing lets you share specific database objects with another Snowflake account within your region. You’re essentially inviting another account to read and use your data.
    • Marketplace listings: Marketplace listings are offered as datasets or products, and they’re available to any Snowflake customers. The Marketplace lets you monetize data products or share additional metadata to one more accounts. You can make your data publicly available for Snowflake.
    • Data exchange: With data exchange, you can set and manage a group of Snowflake accounts and share data with that group using a Private Marketplace or data clean room. This is often used internally and within business ecosystems.
    • Reader accounts: With Reader accounts, you can give specific Snowflake users access to read your data. One of the main use cases for this is sharing data through an application.

    Final Thoughts

    While Snowflake is still most commonly known as an analytics platform, the Marketplace allows you to unlock new use cases in Snowflake, whether enriching your existing data, integrating new technologies into your current ecosystem, or activating your Snowflake data to drive business outcomes. The Marketplace makes Snowflake one step closer to becoming a fully realized Data Cloud.

    More on the blog

    • Databricks vs Snowflake: The Definitive Guide.

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