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.

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Years Experience

Projects Delivered

Client Satisfaction

0/7

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.

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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%). End-to-end software development services designed for ambitious businesses. We transform ideas into secure, scalable, and high-performing digital products that deliver lasting value for customers, teams, and stakeholders.

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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). End-to-end software development services designed for ambitious businesses. We transform ideas into secure, scalable, and high-performing digital products that deliver lasting value for customers, teams, and stakeholders.

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Schema Design (Star/Medallion)

Dimensional modelling (star schema fact tables + dimension tables, standard for analytical performance) and medallion architecture (Bronze raw â†’ Silver cleaned â†’ Gold business-ready). Principles: appropriate grain, slowly changing dimensions (SCD Type 2), surrogate keys, naming conventions enforced via dbt contracts. End-to-end software development services designed for ambitious businesses. We transform ideas into secure, scalable, and high-performing digital products that deliver lasting value for customers, teams, and stakeholders.

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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). End-to-end software development services designed for ambitious businesses. We transform ideas into secure, scalable, and high-performing digital products that deliver lasting value for customers, teams, and stakeholders.

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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 â†’ dbt + Airflow), parallel run period (validate before decommission). End-to-end software development services designed for ambitious businesses. We transform ideas into secure, scalable, and high-performing digital products that deliver lasting value for customers, teams, and stakeholders.

Why Companies Choose ClickMasters?

We blend deep engineering, design clarity, and business-aligned delivery to build products that define industries.

Enterprise

3-Way Comparison Table

Snowflake vs BigQuery vs Redshift 8 rows covering pricing, compute/storage, concurrency, SQL, semi-structured, cloud, best for

Architecture

Auto-Suspend Savings

"Auto-suspend saves 40-60% on Snowflake spend" specific, checkable claim

KPI-Driven

Partition Pruning

Primary BigQuery cost control 5-10x cost reduction with proper partitioning

Intelligence

SCD Type 2

Preserve historical state of changing dimensions essential for audit and trend analysis

Design

Medallion Architecture

Bronze (raw) â†’ Silver (cleaned) â†’ Gold (business-ready) quality tiers

Our Data Warehousing Process

A proven methodology that transforms your vision into reality

Phase 1

Week 1-2

Warehouse Assessment

Technology selection (Snowflake vs BigQuery vs Redshift), schema review (current state), cost model estimation, migration plan. Deliverable: Warehouse Assessment + Selection Recommendation.

Phase 2

Week 2-5

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.

Phase 3

Week 2-4

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.

Phase 4

Week 3-5

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.

Phase 5

Week 4-8

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 technologies and frameworks we use to build secure, high-performance digital experiences.

Frontend Development

React.js

Next.js

Angular

TypeScript

Tailwind CSS

Vue.js

Backend Development

Node.js

Python/Django

Laravel

Java/Spring

Ruby on Rails

Mobile Development

React Native

Flutter

Swift/iOS

Ionic

Kotlin/Android

Database & Storage

PostgreSQL

MongoDB

MySQL

Firebase

Elasticsearch

Redis

Cloud & Infrastructure

AWS

Google Cloud

Azure

Kubernetes

Terraform

Docker

DevOps & Monitoring

GitHub Actions

Jenkins

Prometheus

New Relic

Grafana

Industry Expertise

Deep expertise across multiple industries with tailored AI and software solutions

SaaS Revenue Warehouse

E-commerce Analytics

Legacy Migration to Snowflake

Financial Consolidation

Data Warehousing Pricing

Transparent pricing tailored to your business needs

Warehouse Assessment

3,000 – 7,000

Perfect for businesses that need warehouse assessment solutions

Package Includes

Timeline: 1 - 2 weeks
Best For: Technology selection, schema review, cost model, migration plan
Budget Range: 3,000 – 7,000 AUD
Dedicated Project Manager
Quality Assurance Testing
Documentation & Training

Best Value

Snowflake Implementation

10,000 – 28,000

Perfect for businesses that need snowflake implementation solutions

Package Includes

Timeline: 3 - 6 weeks
Best For: Setup, RBAC, schema, monitoring, cost controls, dbt integration
Budget Range: 10,000 – 28,000 AUD
Dedicated Project Manager
Quality Assurance Testing
Documentation & Training

BigQuery Implementation

8,000 – 24,000

Perfect for businesses that need bigquery implementation solutions

Package Includes

Timeline: 3 - 6 weeks
Best For: Project structure, partitioning, clustering, IAM, cost monitoring
Budget Range: 8,000 – 24,000 AUD
Dedicated Project Manager
Quality Assurance Testing
Documentation & Training

Transparent Pricing

No Hidden Costs

Flexible Engagement

30-Day Support

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

FAQ's

Everything you need to know about our process, timelines, technology stack, and post-launch support.

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Data Warehousing Services

Get your free strategy call

Learn More

Years Experience

Projects Delivered

Client Satisfaction

0/7

Support Available

Snowflake vs BigQuery vs Redshift Comparison

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.

Data Warehousing Services We Deliver

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