Snowplow Analytics is a company active in the industry of technology. It was started in 2012 and is based in London, England. It is known for offering high-quality solutions for analytics. It serves as a sophisticated platform with expertise in the area of behavioural data. Its objective is to provide a high level of control to organizations and help resolve difficult data challenges efficiently. Snowplow Analytics provides useful solutions such as advanced analytics with scope for customization, AI/ML and composable CDP. It is available as a free demo and provides a guided walkthrough to help users get acquainted with its tools and features.
535,204
websites using Snowplow Analytics
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Websites using Snowplow Analytics by countrymarket share · top 8 countries
🇺🇸United States
🇬🇧United Kingdom
🇨🇦Canada
🇦🇺Australia
🇯🇵Japan
🇩🇪Germany
🇳🇱Netherlands
🇨🇿Czechia
0%3%6%9%12%
Websites using Snowplow Analytics by industrydetected industries
Education19%
Shopping19%
Medical & Healthcare19%
Non-profit & Charity15%
Hospitality & Restaurants15%
Technology & Computing13%
Websites using Snowplow Analytics
showing 25 of 535,204| Website | Country | Industry | Size | Founded | |
|---|---|---|---|---|---|
| 🇺🇸US | Technology & Computing | 11-50 | 2003 | ||
| 🇺🇸US | Technology & Computing | 1001-5000 | 2007 | ||
| 🇬🇧GB | Business & Finance | 201-500 | 2011 | ||
| 🇺🇸US | Entertainment | 51-200 | 2017 | ||
 shopify.com | 🇨🇦CA | Software Development | 10001+ | 2006 | |
| 🇺🇸US | Technology & Computing | 1001-5000 | 2014 | ||
 unsplash.com | 🇨🇦CA | Software Development | 11-50 | 2013 | |
| 🇺🇸US | Entertainment | 201-500 | 2007 | ||
| 🇬🇧GB | News & Weather | 1001-5000 | 1888 | ||
| 🇺🇸US | Software Development | 11-50 | 2017 | ||
| - | Software Development | 1001-5000 | 2020 | ||
| 🇺🇸US | Software Development | 1001-5000 | 2000 | ||
| 🇺🇸US | Print & Publishing | 201-500 | 1768 | ||
| 🇺🇸US | Technology & Computing | 11-50 | 2013 | ||
| 🇺🇸US | Software Development | 10001+ | 2004 | ||
 giphy.com | 🇺🇸US | Technology & Computing | 51-200 | 2013 | |
| - | Movies & TV | 201-500 | - | ||
| 🇺🇸US | Entertainment | 11-50 | 1998 | ||
| 🇺🇸US | Software Development | 51-200 | 2016 | ||
| 🇳🇵NP | Software Development | 11-50 | 2014 | ||
| 🇺🇸US | Hardware & Electronics | 10001+ | 1980 | ||
| 🇺🇸US | Technology & Computing | 1-10 | 1999 | ||
| 🇧🇷BR | Science | 51-200 | 2013 | ||
| 🇺🇸US | Software Development | 201-500 | 2008 | ||
| 🇻🇪VE | Banking | 5001-10000 | - |
Showing 25 of 535,204 websitesGet the full list →
Frequently asked
What is Snowplow Analytics?›
Snowplow Analytics is an open-source, event-driven data pipeline and analytics platform that enables businesses to track, capture, store, and analyze their customer data across multiple channels and devices.
Which platforms does Snowplow Analytics support?›
Snowplow Analytics supports a wide range of platforms, including web, mobile, and server-side applications. It has integrations for popular programming languages, platforms, and frameworks like JavaScript, Python, Ruby, iOS, Android, and many more.
How does Snowplow Analytics handle data privacy?›
Snowplow Analytics puts data privacy and security at its core, allowing businesses to control their data collection and storage policies. Users can easily anonymize or pseudonymize user data, as well as apply data protection techniques in compliance with GDPR, CCPA, and other data protection regulations.
How does Snowplow Analytics differ from traditional analytics platforms?›
Unlike traditional analytics platforms, Snowplow Analytics is not a black box. It provides businesses with complete ownership and control over their data in a flexible and scalable manner. This empowers users to customize their data workflows and derive accurate, real-time insights, enabling data-driven decision-making.
Can Snowplow Analytics integrate with other services for data analysis and visualization?›
Yes, Snowplow Analytics is designed for integration with popular data analysis and visualization tools. Users can leverage the Snowplow data pipeline with their preferred data storage, processing, and analytics platforms (e.g., Google BigQuery, Amazon Redshift, Apache Spark, Apache Hive) and visualization tools (e.g., Tableau, Looker, Power BI).
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