We detected 862 companies using Snowflake Marketplace. The most common industry is Software Development (29%) and the most common company size is 51-200 employees (25%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
Note: We track companies that have a product in the Snowflake Data Marketplace. We also track companies that use Snowflake
👥 What types of companies are companies in the Snowflake Marketplace?
Source: Analysis of Linkedin bios of 862 companies that use Snowflake Marketplace
Company Characteristics
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Shows how much more likely Snowflake Marketplace customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Series E
438.5x
Funding Stage: Secondary market
350.7x
Funding Stage: Series D
214.3x
Industry: Data Infrastructure and Analytics
97.2x
Industry: Information Services
44.2x
Country: JP
40.2x
I analyzed these companies in the Snowflake Marketplace and found they fall into three main buckets: data providers who license proprietary datasets (weather data from AccuWeather, aviation intelligence from ch-aviation, property data from ATTOM), infrastructure companies that help optimize or integrate data platforms (Fivetran for data movement, SELECT for Snowflake optimization, Airbyte for replication), and specialized analytics providers serving specific verticals like healthcare, finance, or energy. What they're actually selling is either raw data feeds, tools to move and manage data more efficiently, or packaged insights derived from complex data sources.
The company maturity varies wildly. I see early-stage ventures like AnaChart with 4 employees alongside massive enterprises like IBM with 327,000+ employees and LSEG with 24,000+. The funding data shows everything from bootstrapped consultancies to Series D companies like Sigma ($264M raised) and dbt Labs ($222M raised). However, the median seems to be growth-stage B2B software companies with 50-200 employees and Series A or B funding.
🔧 What other technologies do companies in the Snowflake Marketplace also use?
Source: Analysis of tech stacks from 862 companies that use Snowflake Marketplace
Commonly Paired Technologies
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Shows how much more likely Snowflake Marketplace customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies in the Snowflake Marketplace with data products are distinctly sales-driven B2B software companies with sophisticated revenue operations. The presence of tools like Clari, Highspot, and SupportLogic tells me these aren't just tech companies, they're companies actively selling to other enterprises with complex sales cycles that demand tight execution and forecasting.
The pairing of Snowflake with Watershed is particularly telling. These companies are building data products while simultaneously measuring their own carbon footprint, suggesting they're at a maturity level where ESG reporting matters to their customers and investors. The combination of Clari for revenue forecasting and Highspot for sales enablement reveals a heavy investment in sales productivity. They're not just hiring reps, they're equipping them with content management and deal intelligence to close complex enterprise contracts. SupportLogic's presence, despite lower adoption, signals that customer success is critical to their retention model, likely because they're selling recurring subscriptions where support quality directly impacts renewals.
The full stack screams sales-led growth at the growth to scale-up stage. These companies have moved past product-market fit and are now optimizing their go-to-market machine. Golinks appearing so frequently suggests they've reached a size where internal knowledge management becomes a bottleneck, typically 100 plus employees. They're investing in tools that only make sense when you have multiple teams collaborating on enterprise deals and need to maintain velocity as headcount grows.
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