The Snowflake Effect: Why Companies are Flocking to this Cloud Data Platform

Jinnatul Raihan Mumu
7 min readApr 5, 2023

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The Snowflake effect refers to the transformative impact that Snowflake, a cloud-based data warehousing and analytics platform, has had on the data management and analytics landscape. The platform’s unique architecture and cloud-based design have enabled businesses to store, manage, and analyze data in ways that were previously unimaginable, resulting in increased scalability, performance, and cost-effectiveness. The Snowflake effect has also been driven by the platform’s rapid growth and adoption, and as more businesses adopt Snowflake, the platform’s impact will continue to grow, transforming the way that companies manage and leverage data to drive growth and innovation.

In this blog post, we will explore the Snowflake effect, its features, and how it helps businesses manage their data more efficiently, effectively, and at a lower cost.

All You Need to Know about Snowflake

Snowflake is a cloud-based data platform that provides a comprehensive set of data warehousing, data lake, and data engineering capabilities. It is designed to handle structured and semi-structured data and enable businesses to store, process, and analyze their data effectively.

Snowflake architecture collected from Google

Founded in 2012 by Benoit Dageville, Thierry Cruanes, and Marcin Zukowski; Snowflake’s unique architecture separates compute from storage, allowing users to scale compute and storage independently. Snowflake also uses a multi-cluster architecture that enables concurrent workloads to run on the same data set without performance degradation. Its continuous innovation strategy has yielded a more than 20% reduction in the average cost of warehouse queries for customers over the last 3 years.

According to a survey conducted by Snowflake, 62% of respondents cited scalability as the primary reason for choosing Snowflake over other data warehousing platforms.

Companies Using Snowflake

  • Amazon
  • Google
  • Microsoft
  • Capital One
  • Warner Music Group
  • DoorDash
  • Allianz
  • Frontify
  • Autodesk
  • Disney Ad Sales

Snowflake by the Numbers

The Snowflake effect is real, and the numbers speak for themselves. Below are some good-to-know numbers to understand the growth of Snowflake:

  1. Snowflake has seen explosive growth in recent years, with a 173% increase in revenue in 2020 alone.
  2. In terms of valuation, Snowflake went public in September 2020, and its market capitalization quickly surpassed $70 billion, making it one of the most valuable software companies in the world.
  3. Snowflake's annual revenue for 2023 was $2.066B, a 69.41% increase from 2022. Snowflake's annual revenue for 2022 was $1.219B, a 105.95% increase from 2021. Snowflake's annual revenue for 2021 was $0.592B, a 123.63% increase from 2020.
  4. Snowflake has received numerous awards and recognition for its innovative technology and growth. In 2021, it was named a Leader in Gartner’s Magic Quadrant for Cloud Database Management Systems for the fourth consecutive year.
  5. At the end of Q3 2023 (October 2022), Snowflake had 7292 customers. The year prior Snowflake had 5416, representing a yearly growth of over 34%.

Why is Snowflake so Popular: Exploring Snowflake’s Current Features

  1. Elasticity and Scalability: Snowflake’s unique architecture enables businesses to scale their computing and storage independently. This means businesses can add more computing resources to handle heavy workloads or increase storage capacity to store more data without incurring downtime or affecting performance.
  2. Data Sharing: Snowflake allows businesses to share data securely and easily with internal and external stakeholders. This feature enables organizations to collaborate and share data with partners, customers, and suppliers without compromising data security or privacy.
  3. Security: Snowflake takes data security seriously and offers several features to ensure data protection. It encrypts data both at rest and in transit, provides granular access control, and has several compliance certifications, including SOC 2 Type 2 and HIPAA.
  4. Performance: Snowflake’s multi-cluster architecture enables concurrent workloads to run on the same data set without performance degradation. This feature allows businesses to run complex queries and analyses faster and at a lower cost.
  5. Integration: Snowflake integrates seamlessly with popular business intelligence and analytics tools, including Tableau, Looker, and Power BI. This feature enables businesses to analyze their data and gain insights more efficiently and effectively.
Snowflake secure data sharing model

What’s new: Latest Snowflake Features in 2023

  1. Enhanced Performance: Snowflake has always been known for its lightning-fast performance, and the company has made significant improvements in this area with its latest release. The platform now offers enhanced performance for SQL queries, with up to 20% faster execution times. The new release also includes improvements in data loading and unloading, resulting in faster data transfer speeds. These improvements will help businesses save time and resources while analyzing large data sets.
  2. Improved Data Sharing: Snowflake’s data-sharing capabilities have been enhanced with the latest release, making it easier for businesses to share data with their partners and customers. The platform now supports external tables, which enables users to query and join data from external databases or data lakes. This means businesses can now share data more securely and efficiently with their partners, without the need to move data into their Snowflake accounts.
  3. Automated Query Optimization: Snowflake has introduced a new feature called “Automated Query Optimization,” which analyzes query execution plans and automatically tunes them for better performance. This feature is particularly useful for businesses with large, complex data sets, as it saves them time and effort in optimizing their queries. Automated Query Optimization uses machine learning algorithms to improve query performance, and it is expected to significantly improve Snowflake’s overall performance.
  4. Improved Security: Snowflake has always prioritized security, and the latest release includes several new security features. The platform now supports multi-factor authentication, which provides an extra layer of security for user accounts. Additionally, Snowflake has introduced a new feature called “Sensitive Data Protection,” which automatically detects and masks sensitive data in query results. This feature ensures that sensitive data is not exposed to unauthorized users and helps businesses comply with data privacy regulations.
  5. Improved Data Integration: Snowflake has improved its data integration capabilities with the latest release, making it easier for businesses to integrate data from different sources. The platform now supports more than 100 connectors, including Salesforce, Marketo, and Google Analytics. Snowflake has also introduced a new feature called “Data Pipelines,” which enables users to build and manage data pipelines using a simple drag-and-drop interface. This feature simplifies the process of ingesting, transforming, and loading data, making it easier for businesses to work with their data.
  6. Improved Snowflake UI: Snowflake has introduced several improvements to its user interface (UI) with the latest release. The platform now includes a new “Workspace” feature, which enables users to organize their Snowflake objects into logical workspaces. Additionally, Snowflake has introduced a new “Tasks” feature, which enables users to schedule and automate tasks, such as data loading and unloading. These improvements make Snowflake’s UI more intuitive and user-friendly, making it easier for businesses to manage their data.
  7. Snowflake Marketplace: Snowflake customers can tap into Snowflake Marketplace for access to more than 1,700 live data sets, packages of data sets, or data services (applications are currently in private preview) from over 360 third-party data providers and data service providers (as of Oct. 31, 2022) as well as market their own products across the Snowflake Data Cloud.

From the Business Perspective: How Snowflake Saves Cost?

  1. Pay-Per-Use Model: Snowflake’s pay-per-use model means businesses only pay for the computing and storage resources they use. This model eliminates the need for businesses to pay for unused resources, making it more cost effective than traditional data warehousing solutions.
  2. Separate computing and Storage: Snowflake’s unique architecture separates computing from storage, allowing businesses to scale each component independently. This feature eliminates the need to overprovision resources, making it more cost effective than traditional data warehousing solutions.
  3. Performance and Efficiency: Snowflake’s multi-cluster architecture enables businesses to run complex queries and analyses faster and at a lower cost. This feature eliminates the need for businesses to invest in expensive hardware and infrastructure, making it more cost effective than traditional data warehousing solutions.

What the future holds for this game-changing platform

Given the notion of continuous innovation is evident, the future of Snowflake looks bright, as the platform continues to push the boundaries of cloud-based data warehousing and analytics. In short, the Snowflake effect is a real phenomenon, and the numbers clearly demonstrate Snowflake’s success in the data warehousing market. With its scalability, performance, cost-effectiveness, and ease of use, Snowflake has become a compelling option for businesses of all sizes looking to leverage their data effectively. With a growing customer base, strong partnerships, and industry recognition, Snowflake is poised to continue its growth and success in the years to come.

Snowflake usage image collected from Google

In addition to Snowflake’s pay-per-use model, separate compute and storage, and multi-cluster architecture, businesses can save significant costs while also gaining access to a more powerful and flexible data platform. The platform’s focus on automation and machine learning is expected to significantly improve its overall performance, making it easier for businesses to analyze large, complex data sets. Additionally, Snowflake’s enhanced data-sharing capabilities make it easier for businesses to collaborate with their partners and customers, without compromising on data security. Overall, Snowflake’s latest release also reinforces its position as one of the most advanced and innovative data platforms in the industry. That said, as businesses look to harness the power of data to drive growth and innovation, it’s clear that Snowflake will remain a key player in this exciting and rapidly evolving market.

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Jinnatul Raihan Mumu

Data analyst who loves to learn about new business intelligence tools everyday.