Snowflake Cloud Data Platform
A Modern Data Platform Built for Any Cloud
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result? A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake is available globally on AWS, Azure and Google Cloud Platform. With a common and interchangeable code base, Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
Securely Share Data to Collaborate Across Your Business Ecosystem
Snowflake’s multi-cluster shared data architecture enables governed and secure data sharing in real time. Create your own private data exchange to share and collaborate with business partners, suppliers, and employees in a centrally managed data hub. Easily source external data and open new routes to data monetization by participating in the Snowflake data marketplace.
Snowflake eliminates the administration and management demands of traditional platforms and big data solutions. Snowflake is a true data platform-as-a-service, running in the cloud. With built-in performance, there’s no infrastructure to manage or knobs to turn. Snowflake automatically handles infrastructure, optimization, availability, data protection, and more, so you can focus on using your data, not managing it.
Pay Only for What You Use
Per-second, usage-based pricing for compute and storage means you only pay for the amount of data you store and the amount of compute processing you use. Say goodbye to upfront costs, over-provisioned systems, or idle clusters unnecessarily consuming money.
Snowflake processes queries and tasks in a fraction of the time conventional on-premises and cloud data platforms require. Our columnar database engine uses advanced optimizations, including automatic clustering, which removes the headache of manually re-clustering data when loading new data into a table. Combined with the capacity to scale instantly and near-infinitely, you get the exact performance you need, exactly when you need it.
Snowflake can support all of your business data, whether from traditional sources or newer machine-generated sources, without requiring cumbersome transformations and tradeoffs. Snowflake’s patented technology natively loads and optimizes both structured and semi-structured data such as JSON, Avro, or XML and makes it available via SQL without sacrificing performance or flexibility.
Failover and Business Continuity
Replicate data across cloud regions, across cloud providers, and keep data and apps where they are, while operating confidently with failover and business continuity.
Multi-Cluster, Shared Data Services
Snowflake’s unique architecture handles many database administration tasks for you. The services layer is constructed of stateless compute resources, running across multiple availability zones and utilizing a highly available, distributed metadata store for global state management. All operational states maintained within the services layer, which performs transaction coordination across all concurrent workloads, happens without impacting performance since each workload has its own, dedicated compute resources.
Snowflake’s multi-cluster, shared data architecture is perfectly suited for any workload you can throw at it. See unmatched performance, scalability and concurrency for data warehousing. Work with data in your data lake and build robust data pipelines to streamline data engineering. Simplify and accelerate data science workloads with native integrations to leading languages such as Python, R and Apache Spark™. Or find new ways to profit from data using the Snowflake Data Exchange. Snowflake also provides builders and developers of data-driven applications and services a ready-made infrastructure and engine to build and run their solutions.
Any Scale of Data, Workloads, and Users
Snowflake’s patented multi-cluster, shared data architecture separates storage and compute, making it possible to scale up and down, and on-the-fly, without downtime or disruption. Automatically scale to support any amount of data, workloads, and concurrent users and applications, without requiring data movement, data marts or data copies.
Snowflake has rid Chime of the restriction of a rigid data modeling world, allowing for a much faster pace of business and far greater efficiencies for our small technology team.
– Ethan Erchinger, Director of Operations at Chime
Snowflake’s unique architecture enables all of our teams to work with data in one system, without impacting performance and without DBA experience.
– Josh McDonald, Director of Analytics Engineering, KIXEYE
We went from using 14 technologies to a stack of four powerhouses — AWS, Snowflake, Fivetran and MicroStrategy – all managed by a single person.
– Joseph Bates, Head of Analytics, ShareThrough
Built for the Cloud
Snowflake is built for the cloud from the ground up. It delivers the flexibility and efficiency that simply isn’t possible with traditional data platforms that have been shifted to the cloud. Learn about our patented approach in our architecture video.