Snowflake Data Platform
Design and implement scalable cloud data platforms with Snowflake. TMES delivers end-to-end Snowflake implementation services enabling organisations to modernise data architecture, migrate legacy data warehouses and build automated data pipelines for enterprise analytics and AI readiness.
Powering Data Innovation with TMES & Snowflake
Connect every data source into a single cloud platform — then unlock analytics, AI and real-time intelligence across the entire business.
Data Sources
Analytics & AI
The Platform Built for Modern Data
Columnar storage and automatic clustering deliver query performance 10× faster than traditional warehouses.
Pay only for compute you use — separate storage and compute scaling eliminates over-provisioning waste.
Multiple virtual warehouses run concurrently with zero performance degradation, regardless of user load.
Zero infrastructure to manage. Runs on AWS, Azure and GCP with built-in replication and disaster recovery.
Why Leading Enterprises Choose Snowflake
Snowflake Select Partner
Zero-Copy Cloning
Instantly clone databases, schemas and tables for dev, test and analytics without duplicating storage costs.
Time Travel & Undrop
Query historical data states and recover accidentally deleted data — up to 90 days back in time.
Bringing AI to the Data
Snowflake Cortex AI runs LLM functions directly inside your data platform — no data movement required.
Geospatial & Semi-structured
Native support for JSON, Parquet, Avro and geospatial data types alongside structured data in one platform.
AI-Powered Analytics for Retail & Enterprise
Snowflake Cortex AI brings large language models and ML functions directly inside your data — no data movement, no separate AI infrastructure.
Cortex AI
AI inside your data — zero movement
Top Use Cases by Industry
Customer Behaviour Intelligence
Analyse purchase patterns, predict churn and generate personalisation signals from unified POS and loyalty data.
Menu & Demand Optimisation
Forecast demand by outlet and daypart to reduce food waste and optimise inventory replenishment.
Real-Time Risk Monitoring
Detect anomalies and flag suspicious transactions using ML models running directly on Snowflake.
Intelligent Procurement
Consolidate supplier, logistics and inventory data to drive cost-reduction through data-driven procurement.
Our Four-Step Delivery Model
A structured, proven delivery methodology from assessment through to managed operations.
Discover
Assess current data landscape, business requirements and readiness for Snowflake migration.
Design
Define architecture, migration roadmap, data models and integration strategy.
Build
Develop data pipelines, data models, analytics environments and governance controls.
Operate
Provide managed services, ongoing monitoring, optimisation and platform governance.
What We Deliver
Data Platform Architecture Design
Design modern data architectures including ingestion, storage and analytics layers tailored to your business requirements.
Data Warehouse Migration
Migrate from on-premise or legacy platforms into the Snowflake cloud environment with full data validation.
Data Pipeline Engineering
Build automated ELT/ETL pipelines integrating ERP, POS, CRM and commerce systems for continuous data flow.
Data Modelling & Performance Optimisation
Implement scalable schemas, optimise query performance and ensure your data platform grows with your business.
Security & Governance Implementation
Define access control, data classification and governance policies aligned with organisational compliance requirements.
Integration with Analytics & AI Platforms
Enable connectivity with BI tools, ML platforms and operational applications to unlock enterprise analytics and AI readiness.
Snowflake vs. Databricks vs. AWS Bedrock
Choosing the right data platform depends on your primary use case. Here's how they compare.
| Feature | TMES PartnerSnowflake | Databricks | AWS Bedrock |
|---|---|---|---|
| Primary Focus | Cloud Data Warehouse + Lakehouse | Unified Data + AI/ML | Foundation Models & GenAI |
| SQL Analytics | Native, best-in-class | Good (via Spark SQL) | Limited |
| Data Pipeline (ELT) | Native + dbt/Spark | Native Spark | Glue / custom |
| AI / ML | Cortex AI built-in | MLflow, native ML | Bedrock foundation models |
| Data Sharing | Native Data Marketplace | Delta Sharing | Limited |
| Zero-Copy Cloning | ✓ Native | — | — |
| Governance | Native RBAC + row-level | Unity Catalog | AWS IAM |
| Infrastructure Mgmt | Zero (fully managed) | Low (managed clusters) | Zero (serverless API) |
| Best For | Enterprise analytics + AI-ready DWH | Data engineering + ML platforms | Building GenAI applications |
| TMES Partnership | ✓ Select Partner | — | ✓ AWS Partner |
Why Partner With Us?
TMES holds certified Snowflake Select Partner status backed by multi-cloud certifications and proven delivery expertise.
SnowPro Certifications
SnowPro Core
Advanced Architect
Advanced AdminWhy TMES for Snowflake
Data Security You Can Verify
Our data solutions are delivered under ISO-certified security, privacy and service management frameworks — independently verified by BSI Group.
Information Security Management
Structured risk management and data protection controls across all client engagements.
Privacy Information Management
Responsible data processing practices that reinforce client and partner trust.
IT Service Management
Service delivery governance aligned with IT service management best practices.
Software Engineering Lifecycle
Structured, repeatable and quality-governed technology project execution.
Start Your Modern Data Platform Journey with TMES
Request a Snowflake readiness assessment or speak with a data platform architect to explore how TMES can modernise your data infrastructure.