DATA WAREHOUSE

A Modern Data Warehouse For Modern Analytics.

Traditional data warehouse solutions were not designed to handle the rapid growth in data and varying data types. They also were not designed to keep pace with the changing needs of end users and the applications that rely on them. 

Only a data warehouse with a cloud-built data architecture makes it possible to support your current and future data analytics workloads at any scale.

With Snowflake’s near-zero management solution, you can focus on using data to drive insights instead of managing the overhead of a legacy data warehouse.

From the past, to the present, to your organization’s future

The built-for-the-cloud data warehouse enables the data-driven enterprise

Architectures of solutions from the past can’t be re-engineered to deliver all these capabilities. A single solution is possible only with the invention of a brand new data warehouse architecture built from the ground up for the cloud.

Armed with the knowledge of the evolution of the modern data warehouse, you and your organization can be champions for a data-driven enterprise. Give your organization the architecture and technology of a modern data warehouse – one built for the cloud.

SIX QUALITIES THAT DEFINE A DATA WAREHOUSE BUILT FOR THE CLOUD:

Complete SQL database:

Supports the tools millions of business users already know how to use today.

Zero management:

Reduces complexity with built-in performance so there’s no infrastructure to tweak, no knobs to turn and no tuning required.

All your data:

Analyze multiple petabytes of structured and semi-structured data (JSON, XML, Avro) to quickly extract critical insight.

All your users:

An architecture that supports an unlimited number of concurrent users and applications to gain access to the data warehouse without eroding performance.

Pay only for what you use:

Scale storage separate from compute, up and down, transparently and automatically.

Data sharing:

Direct, governed and secure data sharing within seconds so enterprises can easily forge one-to-one, one-to-many and many-to-many relationships.

A DATA WAREHOUSE BUILT FOR THE CLOUD

Consolidated Data Marts

Take advantage of a modern architecture that brings in one place and makes it available to all your users and applications.

Handle Any Scale Of Data,

Workload And Users

Deliver rapid insights at any scale without the complexity and headaches of traditional data warehouse or NoSQL solutions.

Support Modern Data

and Applications

Build and deploy innovative analytics solutions on top of a cloud data platform that can easily adapt to rapidly changing demands, in any region, on any cloud.

MAKE THE MOST OF YOUR DATA

Spend time making the most of your data, not maintaining your data warehouse

The ability to focus higher in the value chain on data-driven insights and strategies is the hallmark of a modern data warehouse. Snowflake enables you to concentrate on using your data in a more business-centric fashion instead of worrying about manually creating and maintaining your warehouse infrastructure. Such a transformation changes your priorities from performing systems maintenance to achieving greater organizational success.

REAP THE BENEFITS OF CONCURRENT DATA ACCESS

One constraint of legacy data warehouses is the need to queue up a variety of jobs to ensure both prime-time system availability and high performance, while simultaneously addressing less time-sensitive needs. This means “monster jobs” are scheduled at night and operations such as data loading take place in off hours to ensure they don’t affect the business intelligence (BI) environment during normal working hours.

But most everyone wants their data faster for near-immediate evaluation and decision-making. That reality makes a “queue and delay” implementation suboptimal for virtually every party involved.

OPERATE SEPERATE WORKLOADS, CONCURRENTLY

The modern cloud data warehouse eliminates these scheduling requirements. With Snowflake, you can allocate a variety of different workloads to different data warehouses, even if the workloads overlap. This is especially important for industries such as finance and retail, where analytics information must be immediately available.

Time To Move Forward

A Path For Modern Data-Driven Organizations

Data warehousing has been rethought and reborn in the cloud for the modern, data-driven organization. Find out how you can challenge the status quo and become an IT champion that creates the future, giving users the benefits they dream of with data warehousing built for the cloud.

Take the next step toward writing the next chapter of your organization’s data warehousing history.

A Path For Modern Data-Driven Organizations

DATA CLOUD

A Modern Data Platform Breaks Down Information Silos

The Data Cloud Platform has a multi-cluster shared data architecture which delivers your data @ cloud-scale.

The scalable platform easily and securely enables a wide variety of workloads—data warehouses, data lakes, data pipelines, and data exchanges—and many types of business intelligence, data science, and data analytics applications.

BIG DATA

Capture, Store, Analyze & Deliver Data @ Cloud Scale.

The future of Big Data is the rise of what is called ‘fast data’ and ‘actionable data’.

Big Data, typically relies on Hadoop and NoSQL databases to analyze the information in the batch mode, fast data allows for processing in real-time streams.

Actionable data is the missing link between big data and business value. By processing data with the help of analytical platforms, organizations can make information accurate, standardized, and actionable.

DATA ANALYTICS

Fast Track To Analytics: Cloud-Native Warehouse

Sovereign’s Data Analytics Platform provides a high-performance and near-zero management solution, with unlimited scale for every analyst. 

Its unique architecture, and computing power dedicated to individual workloads, make it possible for thousands of self-service users to analyze all their data in real-time with no bottlenecks.

DATA SCIENCE

A Cloud Data Platform For Unified Data Science.

Big data is useless without analysis. The ability to capture, collect and analyze data @ cloud-scale is pivotal to turning enormous volumes of data into actionable insights.

The Data Cloud Platform delivers the performance, concurrency, and simplicity.

Consolidate your data from data warehouses, data marts, and data lakes into a single source of truth that powers multiple types of analytics and data science applications.

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We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.

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