Snowflake
the data cloud

Snowflake

Harness the power of your data and generate actionable insights with Snowflake's cutting-edge data warehouse technology.

Snowflake is a top-tier cloud data platform that enables your organisation to build scalable data solutions, including data warehouses and customer-facing data applications.

Our team of experts will guide your organisation through the strategy, architecture, and development of powerful data products, warehouses, and applications to drive data-driven outcomes.

We specialise in creating low-maintenance, high-performance Snowflake data warehouses that ensure efficient dbt job execution and fast dashboard loading for your stakeholders.

Additionally, we can establish role-based permissions and isolated workloads to prevent one user’s queries from affecting another’s performance. For more advanced needs, we offer multi-account provisioning, data sharing capabilities, and secure data transfer configurations with PrivateLink.

A centralised data warehouse for comprehensive reporting and analysis

The backend infrastructure supporting embedded visualisations for external users

A production data solution designed to handle intermittent, high-volume workloads

Our Snowflake Expertise

Our Snowflake experts will design and develop high-performance, scalable, and secure solutions to rapidly unlock the full potential of your data.

Automated cloud migration services

Our team has created reliable tools and processes to automate, streamline, and expedite your data migration from legacy systems to Snowflake, reducing your time to market.

Data architecture & engineering

We design and implement Snowflake data infrastructure that fosters data democratisation across your organisation.

Our cloud solutions scale alongside your evolving data needs and applications.

Snowflake assessments & optimisation

Allow our SnowPro-certified experts to evaluate your Snowflake environment and deliver comprehensive assessments.

We’ll identify opportunities to enhance performance, security, scalability, and ROI.

Snowflake’s platform supports a diverse range of workloads and applications on any cloud, including data warehouses, data lakes, and data pipelines. Its multi-cluster shared data architecture unifies these workloads into a single source of truth, driving various types of analytics. As a cloud-agnostic platform capable of distributing data across regions and cloud providers, the Data Cloud allows organisations to flexibly choose and combine clouds according to their needs.

Snowflakes Core
Workloads Explained

Collaboration

Collaboration in Snowflake allows users across the globe to share and consume shared data in a secure, governed and real-time environment.

Its seamless integration and interoperability make data sharing simple and efficient.

Key benefits;

Facilitates cross-functional data sharing for real-time decision-making.

Enhances productivity by reducing time wasted in data siloing and integration.

Ensures secure and governed data sharing in accordance with compliance requirements.

Data Engineering

Snowflake’s Data Engineering capabilities provide powerful and flexible tools for managing, transforming and delivering data to end-users. It is designed to handle large volumes of data and complex workloads without compromising performance.

Key benefits

Streamlines data pipeline operations with near-zero management.

Scales automatically to handle varying workloads, reducing operational complexity.

Speeds up data pipeline development with its powerful SQL capabilities.

Cyber Security

With Snowflake’s Cybersecurity workload, companies can store, analyse and gain insights from security data at scale. It provides advanced security features for protecting sensitive data while maintaining high performance.

Key benefits:

Provides robust security features including end-to-end encryption and network policies.

Enables real-time threat detection and response with scalable analytics.

Simplifies compliance reporting with detailed data audit trails.

Data Science & ML

Snowflake’s Data Science and Machine Learning (ML) workload provides a high-performance environment for developing and deploying ML models. It allows data scientists to seamlessly work with data at scale, harnessing the power of AI and ML for powerful insights.

Key benefits:

Accelerates data preparation and model training processes with on-demand scalability.

Integrates with popular data science tools and languages for seamless development.

Facilitates collaboration between data scientists and other stakeholders with shared data models.

Applications

Snowflake’s Applications workload offers a highly scalable, reliable and secure environment for building and deploying data-driven applications. It provides developers with the tools they need to create innovative and responsive applications.

Key benefits;

Enhances application performance with its zero-management, scalable infrastructure.

Ensures real-time data availability for applications with continuous data ingestion.

Provides a unified view of data for applications, eliminating data silos.

Data Warehouse

Snowflake’s Data Warehouse workload provides a fully managed, cloud-based solution for storing, processing and analysing large amounts of data. It supports standard SQL and ACID transactions for a wide range of analytics workloads.

Key benefits:

Eliminates costly management and tuning with its fully managed, cloud-based architecture.

Ensures high-speed analytics with its columnar storage and multi-cluster shared data architecture.

Provides seamless scalability, both vertically and horizontally, to handle any data volume.

Data Lake

Snowflake’s Data Lake workload allows organisations to store, refine and analyse both structured and unstructured data at any scale. It provides a single, unified platform for all data workloads.

Key benefits:

Enables cost-effective storage and analysis of large volumes of raw data.

Facilitates schema-on-read capabilities for flexible data exploration and analysis.

Integrates seamlessly with popular data processing and machine learning tools.

Unistore

Snowflake’s Unistore workload is a unified, transactional data platform that serves both operational and analytical workloads. It combines the best of data warehousing and data lake architectures into a single, easy-to-use platform.

Key benefits:

Serves a wide variety of workloads including real-time, operational and analytical.

Simplifies data management by eliminating the need for separate systems for operational and analytical data.

Ensures high-speed access and updates to data with its unique architecture.