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Snowflake
Mobilise your data. Access a world of data.
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The Snowflake Data Cloud 

Snowflake enables every organisation to mobilise their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, use Snowflake Data Cloud to power their businesses.

Billigence uses Snowflake to power its Next Best Action data app for Sales & Customer Service.

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Rapid Analytics

Deliver insights in real time with a high performance, scalable, zero management solution.

Data Lake

Having a Data Lake in the cloud can bypass some of the usual issues faced by conventional Data Lakes

Analytics Leader

Snowflake has been named a leader in the Gartner Magic Quadrant for Data Management Solutions for Analytics in 2019

Change How You Think About Data Warehousing

Unlimited Concurrency

Compute multiple clusters simultaneously on the same data without affecting performance.

Unlimited Concurrency

Snowflake can support unlimited concurrency with its unique multi-cluster, shared data architecture. This allows multiple compute clusters to operate simultaneously on the same data without degrading performance.

Furthermore, Snowflake can scale automatically with concurrency demands by transparently adding compute resources during peak periods and scaling down when larger loads are not needed.

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Share Securely

Real time, high performance data governance allows secure data sharing in real time.

Share Securely

Snowflake built security into the design of the product from the beginning. Snowflake achieves best practice for managing an enterprise’s data sources, protecting their data through encrypting everything. This includes encryption keys and the use of Amazon CloudHSM to store and use Snowflake’s master keys.

One of the ways in which Snowflake stress tests its systems is through systematically running ‘penetration tests’ on its own systems. These are controlled attempts to exploit vulnerabilities to determine whether unauthorised access or other malicious activity is possible within the target environment. Snowflake engages globally recognised experts to perform these tests, the methodology of which can be found here.

Snowflake’s focus on security is demonstrated through their stellar portfolio of compliance reports and certifications. To view the reports and certifications demonstrating Snowflake’s commitment to enforcing the highest global security standards, please click here.

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Per-second Pricing

Automatic scaling allows you to pay for what you use, eliminating the cost of an idle warehouse.

Per-second Pricing

Pay for the compute and storage that you actually use.

Snowflake’s pricing structure allows you to:

  • Turn compute resources on and off, meaning you only pay for what you need
  • Store unlimited amounts of data at affordable cloud rates
  • Grow your analytics infrastructure with linear cost scalability
  • Per-second pricing model means you to avoid being charged for idle compute time
  • Pay for what you use – no hidden quotas, price bumps or premiums

To find out more about Snowflake’s straightforward pricing options and structures, click here.

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High Performance

Built to maintain performance, even at heavy workloads.

High Performance

The Snowflake data warehouse is not built on an existing database or ‘big data’ software platform such as Hadoop. It uses a new SQL data base engine with architecture specifically designed for the cloud. Snowflake’s unique architecture consists of three different layers that allow for key performance benefits:

Database Storage

Data loaded into Snowflake is reorganised into its internal optimised, compressed, columnar format. This data is then stored in the cloud. Snowflake manages all aspect of the data storage, including organisation, file size, structure, compression, metadata and statistics. The data objects that are stored are not directly visible or accessible by customers and can only be accessed through SQL query operations run through Snowflake.

Query Processing

In the processing layer, Snowflake queries using ‘virtual warehouses’. Each virtual warehouse is an MPP compute cluster consisting of multiple compute nodes. The warehouses are independent compute clusters that do not share compute resources with the other warehouses. This means that each warehouse has no impact on the performance of other virtual warehouses.

Cloud Services

The cloud services layer ties together all the different components of Snowflake in order to process user requests. Among the services in this layer include:

  • Authentication
  • Infrastructure management
  • Metadata management
  • Query parsing and optimisation
  • Access control
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Multiple Clouds

Store your data where you want to, with multi-cloud functionality.

Multiple Clouds

Implement a multi-cloud strategy to lower costs and gain flexibility. Adopting a cross-cloud platform helps:

  • Enable different business units to use a public cloud that best matches their needs and promotes productivity
  • Capitalise on regional footprints to leverage the best cloud provider by region based on presence, capacity, and services for local teams
  • Protect against a single cloud provider’s multi-region outage, ensuring uptime and SLA adherence
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Contact Us

We can help you implement Snowflake in your business, or provide expert consultancy. Get in touch.

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Trusted by the Best

Gartner Peer Insight Reviews

Repetitive Queries 96%
Other Data Types in Addition to Structured Data 96%
Loading Data Continuously 94%
System Availability 92%
Administration and Management 92%
Managing Large Volumes of Data 90%
Queries on Many Data Types/Sources 88%
Operational BI Queries 88%
User Skill Level Support 86%
System Availability 86%
Queries Supporting Advanced Analytics 86%

The Snowflake Solution

Advantages

High Performance

Highest Class Security

Fast Engine

Multiple Clouds

Multiple Concurrency

Per-second Pricing

Instantly Scalable

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Two of the BI industries giants, Snowflake and H2O.ai, have come together to bring the manufacturing industry a brand new, game-changing solution. Their joint Intelligence Manufacturing Capabilities offer powerful, real-time analytics and insights, enabling faster decision-making, consistent process metrics and minimised delays in the manufacturing process. This partnership provides advanced machine learning capabilities such as autoML, collaborative model management and no-code deep learning for image, video and text data. Their innovative solution can completely transform the manufacturing process by improving efficiency, reducing costs and enhancing supply chain transparency.

Upgrade Your Manufacturing Processes
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