🚀 Unveiling the Scale of ❄Snowflake's Elastic Scalability! 🚀
Amazing figures that define Snowflake's journey. The numbers speak for themselves:
✨ 3.9 Billion - The number of queries the Snowflake platform processed on average per day. This incredible volume demonstrates our tireless commitment to reliability and performance.
🌐 72 Trillion - Within the vast ocean of data, the largest customer table contains a mind-blowing 72 trillion rows. This is a testament to the immense capacity and robust architecture that can handle such enormity with ease.
⏱️ 294,000 - In just a 60-second span, the largest number of queries executed by a single customer peaked at 294K+. This illustrates the lightning-fast response time and power to deliver when it matters most.
💾 171 Petabytes - The total amount of compressed data stored on Snowflake for our top five customers by volume. It's not just data; it's the lifeblood of today's businesses, efficiently secured and managed on the Snowflake platform.
We are extremely proud to be the backbone of data-driven decision-making for so many companies. Stay tuned for more updates as we continue to scale!
#DataAnalytics #CloudComputing #BigData #TechInnovation #Snowflake #ElasticScalability #AI #platform #analytics
@Rearc.io | xDirector | Principal Solution Architect | Cloud Data Platforms ❄️ AI, Big Data, ETL, Integration, AWS Databricks Azure 9️⃣☁️| PMP | X-Industries
2moExpensive - what is it being compared to? that is the bigger question and also what parameters are used in the TCO calculations. Simplicity of the platform is one of the key strengths of Snowflake, so if when calculating TCO one might have to consider skills and capacity required for their teams also