Zero-Copy Cloning
Instantly clone databases, schemas and tables for dev, test and analytics without duplicating storage costs.
Platforms & Products
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.
Data Ecosystem
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.
SAP / Oracle ERPSalesforce CRMPOS & eCommerceCloud APIsIoT & Events
Power BITableauPython / MLAI Applications
Why Snowflake?
The Platform Built for Modern Data
10×Faster QueriesColumnar storage and automatic clustering deliver query performance 10× faster than traditional warehouses.
30%Cost ReductionPay only for compute you use — separate storage and compute scaling eliminates over-provisioning waste.
∞Unlimited ScaleMultiple virtual warehouses run concurrently with zero performance degradation, regardless of user load.
100%Cloud NativeZero infrastructure to manage. Runs on AWS, Azure and GCP with built-in replication and disaster recovery.
Snowflake's Unique Advantages
Why Leading Enterprises Choose Snowflake
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.
Snowflake Cortex AI
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.
- Sentiment analysis on customer feedback and reviews
- AI-powered demand forecasting from historical sales data
- Automated anomaly detection in transactions and operations
- Natural language SQL generation for business users
- Product recommendation scoring at scale
- Personalisation signals from unified customer profiles
Retail
Customer Behaviour Intelligence
Analyse purchase patterns, predict churn and generate personalisation signals from unified POS and loyalty data.
F&B
Menu & Demand Optimisation
Forecast demand by outlet and daypart to reduce food waste and optimise inventory replenishment.
Financial Services
Real-Time Risk Monitoring
Detect anomalies and flag suspicious transactions using ML models running directly on Snowflake.
Supply Chain
Intelligent Procurement
Consolidate supplier, logistics and inventory data to drive cost-reduction through data-driven procurement.
Delivery Approach
Our Four-Step Delivery Model
A structured, proven delivery methodology from assessment through to managed operations.
01
Discover
Assess current data landscape, business requirements and readiness for Snowflake migration.
02
Design
Define architecture, migration roadmap, data models and integration strategy.
03
Build
Develop data pipelines, data models, analytics environments and governance controls.
04
Operate
Provide managed services, ongoing monitoring, optimisation and platform governance.
Implementation Capabilities
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.
Platform Comparison
Snowflake vs. Databricks vs. AWS Bedrock
Choosing the right data platform depends on your primary use case. Here's how they compare.
- Snowflake
- Databricks
- AWS Bedrock
| Snowflake | 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 |
Our Credentials
Why Partner With Us?
TMES holds certified Snowflake Select Partner status backed by multi-cloud certifications and proven delivery expertise.
SnowPro CoreAdvanced ArchitectAdvanced Admin
Certified Expertise
SnowPro Core, Advanced Architect and Admin certified engineers on every engagement.
End-to-End Support
From design and implementation through to ongoing managed operations and platform governance.
Differentiation
Combined Snowflake + cloud + application expertise for truly unified data transformation.
Why TMES for Snowflake
The TMES Advantage
Enterprise Data Migration Experience
Proven experience delivering enterprise data migration and warehouse modernisation projects across retail, F&B and financial services.
Cross-System Integration Expertise
Strong capability integrating Snowflake with ERP, CRM, POS and cloud platforms for unified data environments.
Combined Cloud & Data Expertise
Multi-cloud certified engineers with deep Snowflake and data engineering expertise for comprehensive platform delivery.
End-to-End Delivery
Full delivery capability from architecture design through implementation to ongoing managed operations and support.
Trusted by
Brands that run on systems we build and operate
FAQ
Questions, answered
What Snowflake implementation services does TMES provide?
TMES delivers end-to-end Snowflake implementation services. These cover data platform architecture design, data warehouse migration from on-premise or legacy platforms, automated ELT/ETL data pipeline engineering, data modelling and performance optimisation, security and governance implementation, and integration with BI tools, ML platforms and operational applications.
Is TMES a certified Snowflake partner?
Yes. TMES holds Snowflake Select Partner status, and SnowPro Core, Advanced Architect and Admin certified engineers work on every engagement. The team combines Snowflake, cloud and application expertise, backed by multi-cloud certifications.
How does TMES deliver a Snowflake Data Platform project?
TMES follows a four-step delivery model. Discover assesses the current data landscape, business requirements and readiness for Snowflake migration. Design defines the architecture, migration roadmap, data models and integration strategy. Build develops data pipelines, data models, analytics environments and governance controls. Operate provides managed services, ongoing monitoring, optimisation and platform governance.
Which systems and tools can be connected to the Snowflake Data Platform?
TMES builds automated ELT/ETL pipelines that integrate ERP, POS, CRM and commerce systems into Snowflake, with data sources such as SAP or Oracle ERP, Salesforce CRM, cloud APIs and IoT events. On the output side, Snowflake connects to BI tools such as Power BI and Tableau, Python and ML platforms, and AI applications.
How do we start a Snowflake project with TMES?
You can start by requesting a Snowflake readiness assessment or speaking with a TMES data platform architect. The first step of the TMES delivery model, Discover, assesses your current data landscape, business requirements and readiness for Snowflake migration.
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.