How Snowflake Took Over Cloud in Just 10 Years



A Bold Beginning in 2012

Snowflake training was founded in 2012 by Benoît Dageville, Thierry Cruanes, and Marcin Żukowski. Their goal was ambitious and clear. They wanted to solve the limitations of traditional on-premises data systems. Snowflake was designed from the ground up for the cloud.

By 2014, Snowflake came out of stealth. The company started gaining traction quickly. By 2015, it launched its first product. This was a cloud data warehouse built on Amazon Web Services. It allowed users to store, scale, and query data efficiently.

This innovation came at the right time. Businesses were moving away from legacy tools. Snowflake offered better performance and lower costs.

Embracing Multi-Cloud and Growth

In 2018, Snowflake expanded to Microsoft Azure. A year later, it added Google Cloud. This created a powerful multi-cloud strategy. Companies could now choose the provider that suited them best.

Snowflake allowed full separation of storage and compute. This gave customers cost control and high performance. By 2019, under new CEO Frank Slootman, the company began scaling aggressively.

That same year, it launched the Snowflake course Exchange. This feature enabled secure data sharing across cloud platforms. It became a key selling point for enterprises.

Snowflake’s product appealed to companies wanting real-time data analytics. It simplified data access for teams across all levels.

The Landmark IPO and Market Leadership

In September 2020, Snowflake went public. The IPO raised $3.36 billion and made history. It became the largest software IPO ever in the United States.

After the IPO, Snowflake became widely adopted by global firms. Its customer base grew to include over 4,500 companies by early 2021. This included major players in healthcare, finance, and retail.

Snowflake also introduced support for data lakehouse capabilities. This merged the best of data lakes and warehouses. Businesses could now analyze structured and semi-structured data easily.

Innovation in AI and Developer Tools

In 2023, Snowflake acquired Streamlit. This made it easier to create AI-driven data apps. It also launched Snowpark, which brought native support for Python, Java, and Scala.

By late 2023, Snowflake added AI-powered analytics through Snowflake Cortex. Users could now run large language models like Claude directly on their data. This eliminated the need for external tools Snowflake training  .

The company partnered with Anthropic in 2024. This brought deeper integration with cutting-edge AI. Snowflake positioned itself as a leader in both data and intelligence.

In February 2024, Sridhar Ramaswamy became CEO. He replaced Frank Slootman and brought a new focus. His aim was to personalize the data experience and expand AI capabilities.

Security Setbacks and Recovery

In 2024, Snowflake faced a major cloud security posture test. Hackers breached the accounts of over 100 customers. The breach affected high-profile firms like AT&T and Santander .

Snowflake course responded fast. It tightened access controls and improved visibility across its platform. The quick response helped preserve customer trust.

Despite the incident, Snowflake reported strong financials. In Q3 FY2025, it posted $900 million in product revenue. The net revenue retention rate was 127%. This showed customers were expanding their Snowflake usage.

The Road Ahead: AI and Real-Time Data

In 2025, Snowflake continues to lead in cloud data analytics. Its focus is now shifting toward real-time pipelines and unstructured data.

The platform is also preparing to support vector search and expand AI offerings. Developers are building apps with less code and more automation. Snowflake is becoming the core of next-gen data ecosystems.

Its flexible architecture keeps attracting large enterprises. The platform supports any scale—from startups to Fortune 500 giants. Snowflake’s pricing and performance remain top reasons for adoption.

Over ten years, Snowflake cloud dominance has reshaped the data world. It replaced legacy systems and unlocked modern data strategies. The next decade could bring even more transformation.

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