Snowflake

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WHERE DATA DOES MORE

Analytics. AI. Data engineering. Apps and collaboration. Power them all in the AI Data Cloud.


Key Concepts

CLOUD NATIVE ARCHITECTURE

Built for Azure, AWS, and GCP, delivering flexibility, resilience, and consistency in multi-cloud environments.

SEPARATE COMPUTE & STORAGE

Scale resources independently for high performance when needed, while optimising cost efficiency during lighter workloads.

DATA SHARING

Enable instant, secure, real-time data sharing across departments or external partners without duplication or complex integration.

DATA MARKETPLACE

Enhance analytics with curated third-party data, such as currency and weather, directly accessible within Snowflake.

AI & ML INTEGRATION

Connect with leading ML frameworks and deploy predictive models natively, enabling smarter, data-driven decisions.

SIMPLICITY & EASE OF USE

SQL-driven platform minimises complexity, empowering both technical and business users to access insights quickly.

Core Workloads

SCALABLE ANALYTICS

Snowflake allows organisations to run complex, high volume queries without infrastructure limitations. Its elastic compute model ensures users get consistent performance, from ad-hoc analysis to enterprise-wide dashboards, all while paying only for the resources consumed.


DATA COLLABORATION

With secure data sharing, Snowflake enables frictionless collaboration between business units and even with external partners. This makes it possible to share live datasets without duplication, fostering more accurate insights and ecosystem-wide innovation.


AI / ML ENABLEMENT

Data scientists benefit from Snowflake’s ability to deliver clean, structured datasets directly into AI and machine learning workflows. This reduces time spent on preparation and increases the accuracy and efficiency of model training and experimentation.


DATA ENRICHMENT

Snowflake Marketplace provides access to curated third-party datasets that can be integrated directly into an organisation’s analytics environment. This adds context and depth to decision making, such as enriching customer profiles or improving financial forecasting.


NEAR ZERO MAINTENANCE

Snowflake removes the need for managing infrastructure, patching, or optimisation. This 'hands-off' model allows teams to focus on deriving insights and building applications, rather than worrying about operational overhead, delivering faster time to value.

Partner with Parallel42

Snowflake makes data simple, scalable, and shareable.


P42 deliver secure Snowflake environments that cut infrastructure overhead, enable real-time collaboration, and prepare data for AI.




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Jeff Komen
Jeff Komen
Analytics Manager

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