How Snowflake Delivers A Single Data Experience Across Multiple Clouds And Regions
By Mike Sargo
Chief Data and Analytics Officer and Co-Founder of Data Ideology
Snowflake's data warehouse supports a single cloud-based experience with the performance, scalability, and flexibility you need for your company.
Organizations deploy Snowflake to advance their businesses to the next level, with data insights and fast, governed, and secure network access.
Snowflake's core architecture is built on a multi-tier cloud data platform that scales independently. Snowflake's multi-cluster shared data architecture consolidates data warehouses, data marts, and data lakes into a single source of truth that enables any data workload on any cloud with a simple, powerful, and flexible platform.
Snowflake is a single data platform comprised of storage, compute, and services layers logically integrated but scale infinitely and independently. The Snowflake data platform has multi-cluster shared data architecture is designed to handle large data volumes with speed and efficiency.
All data processing horsepower within Snowflake is managed by one or more clusters of computing resources. When executing a query, these clusters retrieve the minimum data required from the storage layer to retrieve query results. As data is retrieved, query results are cached locally to improve the performance of queries in the future.
Unique to Snowflake, multiple compute clusters can simultaneously operate on the same data while fully enforcing global, system-wide transactional integrity. Maintaining full ACID compliance across operations always sees a consistent view of the data and writes actions that never block readers. Transactional integrity across compute clusters happens by continuing all transaction states within the metadata services layer.
At Snowflakes center is the storage tier, which offers fast and reliable support for multi-petabyte-sized tables and semi-structured data. The storage tier is secure with support for ACID transactions and fast (sub-second) operations and response. Moreover, Snowflake encrypts all data at rest.
This tier is a multi-cluster compute layer. Each workload dedicated compute clusters with unlimited elasticity and scalability. Snowflake charges by the second, but it continues to be cost-effective with the level of supported compute resources.
Cloud Services Tier
The final tier is Snowflakes cloud service. This tier controls client interfaces, including transactions, client sessions, query planning, security, and other cloud-based services and functionality. With unlimited scalability, the cloud services tier supports thousands of customer accounts with millions of daily queries.
How Does Snowflake Function Across Clouds & Regions?
Snowflake has transformed portability from its first availability on Amazon (AWS), through Microsoft Azure cloud (Azure) and to Google Cloud Platform (GCP), maximizing its performance capabilities on each cloud. Such an evolution of portability helps deliver a global capability level in the worldwide data mesh that links all regions.
Snowflake operates on multiple clouds with a single code base that makes engineering, release management, and maintenance processes scalable. Snowflake continues to expand to new global regions and cloud environments. The advantage of a single code base is that it is easier to put updates into production without additional downtime.
Regardless of where you run your Snowflake data warehouse, AWS, Azure, or GCP will provide the same familiar experience and benefits; this is critical to ensuring that you will have flexibility and options to execute your data strategy.
Here are a few of the global features:
Global Account Management
You can easily create and manage accounts in any region of the Snowflake Cloud Data Platform.
You can effortlessly replicate your databases between your organization's accounts and across different cloud-based platforms.
Snowflake Data Marketplace
You can freely advertise the data sets you offer to your data clients across clouds and regions.
As organizations continue to look for efficient ways to integrate, manage, and analyze the continually growing volumes of that operate across multi-cloud environments with speed and efficiency, Snowflake's cross-cloud capabilities will be extremely advantageous. Organizations should adopt the mindset that it is better to embrace a universal solution to realize the current and future advantages of a foundation Snowflake built across cloud platforms.
With that single data experience across multiple clouds and regions, Snowflake continues to offer the security and efficiency that has always been a mainstay, while supporting global data mesh.
At Data Ideology, we will work with you to determine which data processing method will best meet your geographical and cloud-based needs.
Written by Mike Sargo
Mike Sargo is Chief Data and Analytics Officer and Co-Founder of Data Ideology with over 18 years of experience leading, architecting, implementing, and delivering enterprise analytics, business intelligence, and enterprise data management solutions.
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