Snowflake separates storage from compute, with compute consumed through virtual warehouses and other Snowflake services. That flexibility makes it easy to scale workloads, but poorly sized warehouses or inefficient scheduling can also consume credits unnecessarily. We right-size virtual warehouses around actual workloads, tune performance and monitor credit consumption continuously. The aim is to provide the performance users need without paying for unnecessary compute or leaving oversized resources running longer than required.
Unlock more value from your Snowflake data
From elastic data warehousing and governed pipelines to production AI and managed operations, Ardent’s Snowflake engineers help organisations improve reporting, automate data workflows and build AI on trusted enterprise data.
TRUST AND PROOF POINTS
Since 2008
Engineering and operating data platforms for organisations worldwide.
2m+ hours
Engineering delivered across data and software projects.
Snowflake partner
Engineering expertise with practical Snowflake delivery experience.
ISO 27001
Information security supported by independently certified processes.
WHY SNOWFLAKE
Scale data and AI without scaling complexity
Snowflake separates storage from compute, allowing reporting and analytics workloads to scale independently without changing the underlying data. Teams can increase compute when demand rises and scale it back afterwards, giving greater control over performance and cost without managing traditional warehouse infrastructure.
Snowflake Horizon provides access control, classification and lineage across data assets, accounts and clouds, helping teams maintain trusted information as the environment grows and ensuring reporting is built on data people can rely on.
Cortex AI brings language-model functions, document processing and vector search closer to governed data, while Snowpark, Streams, Tasks and Dynamic Tables support engineering and automation inside Snowflake. This lets organisations expand into AI and automation without continually adding separate platforms or moving sensitive data elsewhere.
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Elastic storage and compute
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Governance with Snowflake Horizon
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AI and search with Cortex AI
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Native engineering and automation
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Scale performance around demand
WHAT WE DELIVER
Snowflake expertise for real business outcomes
Our Snowflake services cover the full data lifecycle, from warehousing and engineering to governance, AI, reporting and ongoing operations.
Data warehousing and elastic compute
Set up virtual warehouses around real workloads, scaling performance when demand increases while keeping credit usage and unnecessary compute costs under control.
Data engineering and pipelines
Build automated pipelines with Snowpark, Streams, Tasks and Dynamic Tables, catching data-quality issues before they reach reporting, automation or AI.
Data governance
Implement Snowflake Horizon for access control, classification, discovery and lineage, creating a trusted governance layer across your Snowflake data estate.
Generative AI & machine learning
Use Cortex AI, Cortex Search and Document AI to build RAG, search and AI applications directly on governed enterprise data within Snowflake.
BI & reporting
Deliver fast, governed reporting through Snowsight and existing BI tools, with warehouse performance tuned around real reporting demand and usage patterns.
Managed operations
Provide 24/7 monitoring, credit and cost optimisation, performance tuning and incident response, reducing disruption while keeping Snowflake efficient and reliable.
EXPLORE OUR SERVICES
Choose the service that fits your goals
From managed operations to AI, our services are designed to help you get the most from Snowflake.
SNOWFLAKE MIGRATION PATHS
Move to Snowflake from your current platform
A Snowflake migration does not need to put live reporting or day-to-day operations at risk. We assess dependencies, prioritise high-value workloads and move them in controlled phases.
Redshift to Snowflake
Move from cluster-based infrastructure to elastic Snowflake compute, improving reporting performance while separating storage and compute for more flexible scaling, better workload isolation and greater control over ongoing cost.
Teradata / legacy on-premises warehouse to Snowflake
Move beyond ageing appliances, capacity limits and licensing overheads to a cloud platform that can scale more easily across reporting, analytics and growing data volumes without continual infrastructure expansion.
SQL Server / Azure SQL to Snowflake
Move analytical workloads into Snowflake while protecting critical reports and business outputs, creating a scalable foundation for governed reporting, wider analytics and future data growth across the organisation.
BigQuery to Snowflake
Move analytics workloads onto Snowflake’s multi-cloud platform, with workload isolation, governance and cost controls that support reporting, data sharing and analytics consistently across teams and environments.
Databricks to Snowflake
Use Snowflake for governed reporting, analytics and data sharing while retaining Databricks where it best supports engineering or AI, with migration, coexistence or phased workload movement based on your environment.
FEATURED SUCCESS STORY
Monetizing broadcasting data
Monetizing broadcasting data
Read the Databricks success story →
80%
reduction in reporting turnaround
215M+
commercial records processed per hour
HOW WE WORK WITH YOU
A clear path to value
We follow a proven three-stage approach to help you get the most from Snowflake, from initial architecture through to ongoing optimisation and support.
01
Assess and design
Assess your architecture, workloads and reporting needs, then design the target Snowflake environment, governance model and phased plan around value, risk and timeline.
02
Build and migrate
Build pipelines, implement Horizon governance and move agreed workloads through controlled cutovers designed to protect live reporting and business operations.
03
Optimise and run
Right-size virtual warehouses, tune performance and control credit spend, with 24/7 monitoring, support and continuous improvement available through Ardent.
SNOWFLAKE FAQS
Frequently asked questions