Data Warehousing Services
ClickMasters builds cloud data warehouses for B2B companies across the USA, Europe, Canada, and Australia. Snowflake for organisations that want near-zero infrastructure management and pay-as-you-use compute. BigQuery for GCP-native teams and event-heavy workloads. Redshift for AWS-native architectures. Schema designs that your data team will still understand in 3 years. Query optimisation that keeps costs predictable. And migrations from legacy on-premises warehouses to the cloud.
Years Experience
Projects Delivered
Client Satisfaction
Support Available
Snowflake vs BigQuery vs Redshift Comparison
- Pricing model: Snowflake per-second compute credit + storage, predictable scaling. BigQuery serverless pay per query (bytes scanned), zero idle cost. Redshift reserved instances or serverless RA3, predictable for steady workloads.
- Compute/storage separation: Snowflake full separation scale compute independently of storage. BigQuery full separation no clusters to manage. Redshift RA3 managed storage separate from compute.
- Concurrency: Snowflake excellent multiple virtual warehouses share same data. BigQuery excellent serverless auto-scales. Redshift good concurrency scaling adds clusters on demand.
- SQL dialect: Snowflake ANSI SQL + extensions (FLATTEN, VARIANT JSON). BigQuery Standard SQL + extensions (ARRAY_AGG, STRUCT). Redshift PostgreSQL-compatible easiest migration from Postgres.
- Semi-structured data: Snowflake VARIANT type query JSON natively without schema. BigQuery ARRAY/STRUCT types nested records, JSON functions. Redshift SUPER type PartiQL for semi-structured.
- Cloud provider: Snowflake multi-cloud (AWS, GCP, Azure). BigQuery GCP only. Redshift AWS only.
- Best for: Snowflake multi-cloud, near-zero DBA overhead, strong partner ecosystem. BigQuery GCP workloads, very large-scale event analytics, serverless preference. Redshift AWS-native teams, PostgreSQL familiarity, predictable workloads.
Data Warehousing Services We Deliver
ClickMasters operates as a full-stack data warehousing partner. Our team handles every layer of the software delivery lifecycle — product strategy, UI/UX design, backend engineering, cloud infrastructure, QA, and ongoing support.
Snowflake Implementation
End-to-end Snowflake setup: account configuration (cloud provider + region), virtual warehouse sizing and auto-suspend (right-size compute overspending is idle warehouse time), role-based access control (RBAC), network policy (IP whitelisting), Snowflake Data Sharing, cost monitoring (resource monitor budget limits, email alert at 80%).
BigQuery Implementation
BigQuery setup for GCP-native teams: project and dataset organisation (dev/staging/prod), partitioning strategy (partition pruning is primary cost control), clustering (reduce bytes scanned further), scheduled queries, BigQuery ML (train and serve ML with SQL), cost monitoring (Quotas + budget alerts).
Schema Design (Star/Medallion)
Dimensional modelling (star schema fact tables + dimension tables, standard for analytical performance) and medallion architecture (Bronze raw → Silver cleaned → Gold business-ready). Principles: appropriate grain, slowly changing dimensions (SCD Type 2), surrogate keys, naming conventions enforced via dbt contracts.
Query Optimisation & Cost Control
Query profiling (identify most expensive queries by bytes scanned/credits), partitioning and clustering (add partition filters 5-10x cost reduction), materialised views (pre-compute expensive aggregations), result caching (Snowflake caches identical queries for 24 hours), warehouse right-sizing (downsize idle warehouses, auto-suspend to 1-5 minutes).
Data Warehouse Migration
Migrate from legacy warehouses (Teradata, Netezza, Oracle, Azure SQL DW) to modern cloud: SQL translation (automated via Schema Conversion Tool, custom functions manual), data validation (compare row counts/aggregates between legacy and target), ETL/ELT migration (SSIS/Informatica → dbt + Airflow), parallel run period (validate before decommission).
Why Companies Choose ClickMasters
Snowflake vs BigQuery vs Redshift 8 rows covering pricing, compute/storage, concurrency, SQL, semi-structured, cloud, best for
Basic: One-size recommendation
"Auto-suspend saves 40-60% on Snowflake spend" specific, checkable claim
Basic: No cost optimisation guidance
Primary BigQuery cost control 5-10x cost reduction with proper partitioning
Basic: No partitioning (full scans, high costs)
Preserve historical state of changing dimensions essential for audit and trend analysis
Basic: Overwrite only (lost history)
Bronze (raw) → Silver (cleaned) → Gold (business-ready) quality tiers
Basic: Single flat layer
Our Data Warehousing Process
A proven methodology that transforms your vision into reality
Warehouse Assessment
Technology selection (Snowflake vs BigQuery vs Redshift), schema review (current state), cost model estimation, migration plan. Deliverable: Warehouse Assessment + Selection Recommendation.
Warehouse Implementation
Account/project setup, virtual warehouse configuration (Snowflake) or dataset structure (BigQuery), RBAC/IAM, network policies, auto-suspend, cost monitoring. Deliverable: Production Data Warehouse.
Schema Design
Star schema or medallion architecture, fact/dimension table design, slowly changing dimensions (SCD Type 2), surrogate keys, naming conventions. Deliverable: Schema Documentation + dbt model contracts.
Query Optimisation
Profile top 10 most expensive queries, add partitioning/clustering, create materialised views, configure caching, right-size warehouses. Deliverable: Query Cost Report + Optimised Warehouse.
Migration (if legacy)
SQL translation (automated + manual), data validation (row counts, aggregates), ETL/ELT pipeline migration, parallel run, cutover. Deliverable: Migrated Warehouse + Validation Report.
Technology Stack
Modern tools we use to build scalable, secure applications.
Back-end Languages
Front-end Technologies
Databases
Cloud & DevOps
Industry-Specific Expertise
Deep expertise across various sectors with tailored solutions
SaaS Revenue Warehouse
E-commerce Analytics
Legacy Migration to Snowflake
Financial Consolidation
Data Warehousing Development Pricing
Transparent pricing tailored to your business needs
Warehouse Assessment
Perfect for businesses that need warehouse assessment solutions
Package Includes:
- Timeline: 1 - 2 weeks
- Best For: Technology selection, schema review, cost model, migration plan
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Snowflake Implementation
Perfect for businesses that need snowflake implementation solutions
Package Includes:
- Timeline: 3 - 6 weeks
- Best For: Setup, RBAC, schema, monitoring, cost controls, dbt integration
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
BigQuery Implementation
Perfect for businesses that need bigquery implementation solutions
Package Includes:
- Timeline: 3 - 6 weeks
- Best For: Project structure, partitioning, clustering, IAM, cost monitoring
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Redshift Implementation
Perfect for businesses that need redshift implementation solutions
Package Includes:
- Timeline: 3 - 6 weeks
- Best For: Cluster or serverless, schema, vacuum/analyze, monitoring
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Schema Design (Star/Medallion)
Perfect for businesses that need schema design (star/medallion) solutions
Package Includes:
- Timeline: 2 - 4 weeks
- Best For: Dimensional model, SCD Type 2, naming conventions, dbt contracts
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Query Optimisation
Perfect for businesses that need query optimisation solutions
Package Includes:
- Timeline: 2 - 3 weeks
- Best For: Profile top queries, add partitioning/clustering, materialised views
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Warehouse Migration
Perfect for businesses that need warehouse migration solutions
Package Includes:
- Timeline: 5 - 10 weeks
- Best For: SQL translation, ETL migration, parallel validation, cutover
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
Warehouse Retainer
Perfect for businesses that need warehouse retainer solutions
Package Includes:
- Timeline: Ongoing
- Best For: Cost monitoring, schema evolution, performance optimisation
- Dedicated Project Manager
- Quality Assurance Testing
- Documentation & Training
* All prices are estimates and may vary based on specific requirements. Contact us for a detailed quote.
CEO Vision
To build scalable, intelligent custom software development solutions that empower businesses to grow, automate, and transform in a digital-first world.
We are not building software. We are architecting the infrastructure of tomorrow — systems that think, adapt, and grow alongside the businesses they power. Our mission is to make cutting-edge technology accessible to every ambitious team on the planet.
Amjad Khan
CEO
12+
Years
300+
Projects
98%
Retention
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