Snowflake Cloud Data Platform


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.

Any Cloud

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.

Near-Zero Management

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.

Compelling Performance

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.

Broad Ecosystem

You can rapidly integrate Snowflake with custom and packaged tools and applications. Our native and standards-based connectors, which include ODBC,

JDBC, Javascript, Python, Spark, R, and Node.js, enable developers and tools that use a variety of languages and frameworks.

Diverse Data

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.

Many Workloads

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.