THE RIGHT TOOL
FOR YOUR PROBLEM
Platform agnostic, certified everywhere. We recommend what's genuinely right for your workload, not what we're incentivised to sell.
AWS
Azure
GCP
Snowflake
Databricks
SAP
Power BI
Tableau
Oracle
Microsoft
Spark
KafkaWe architect, migrate, and optimise workloads across all three major cloud hyperscalers, selecting the right platform (or combination) for each client's data workload, cost profile, and governance requirements.
Amazon Web Services
The world's most comprehensive cloud platform
AWS provides the broadest and deepest portfolio of data and analytics services. We leverage AWS to build scalable data lakes, real-time streaming architectures, and enterprise AI/ML platforms that grow with your business.
- S3 & Lake Formation, cloud-native data lake design
- Redshift, enterprise cloud data warehousing
- Glue & EMR, scalable ETL and big data processing
- SageMaker, end-to-end ML model development & deployment
- Kinesis, real-time data streaming and ingestion
- Athena, serverless interactive query at scale
Microsoft Azure
Enterprise-grade cloud for data and AI
Azure's integrated data ecosystem is purpose-built for enterprise analytics and AI. We help organisations leverage Azure's end-to-end platform, from ingestion to insight, with native integration across Microsoft's entire product stack.
- Azure Synapse Analytics, unified analytics at scale
- Azure Data Factory, cloud-scale ETL and orchestration
- Azure Databricks, collaborative big data and ML
- Azure Data Lake Storage Gen2, hierarchical data lake
- Azure Machine Learning, MLOps and model governance
- Microsoft Fabric, unified data platform (next generation)
Google Cloud
AI-first cloud with unmatched analytics
Google Cloud brings Google's world-class AI and analytics capabilities to enterprise data platforms. We specialise in BigQuery-centred architectures and Vertex AI deployments that turn petabytes of data into production-ready intelligence.
- BigQuery, serverless, massively parallel data warehouse
- Vertex AI, end-to-end ML platform and model registry
- Dataflow, stream and batch data processing
- Pub/Sub, global messaging and event ingestion
- Looker, governed business intelligence and embedded analytics
- Cloud Composer, managed Apache Airflow orchestration
Modern data platforms are the backbone of the intelligent enterprise. We design, implement, and optimise deployments across the leading cloud-native and enterprise data platforms.
Snowflake
The Data Cloud, built for the modern enterprise
Snowflake's unique architecture separates storage from compute, enabling near-unlimited scalability at controlled cost. We help clients adopt Snowflake as the central hub of their data ecosystem, from initial migration through to advanced data sharing and data marketplace capabilities.
- Snowflake architecture design and performance tuning
- Data vault and dimensional modelling on Snowflake
- Secure data sharing and data marketplace deployment
- dbt-on-Snowflake transformation architecture
- Snowpark, Python and Scala in the data cloud
- Cortex AI, LLM and ML functions natively in SQL
Databricks
Unified data analytics and AI platform
Databricks unifies data engineering, data science, and machine learning on a single collaborative platform built around Apache Spark. We use Databricks to build lakehouse architectures that close the gap between analytics and AI, enabling both structured BI and unstructured ML workloads on the same data.
- Lakehouse architecture design with Delta Lake
- Spark-based ETL pipeline engineering
- MLflow, experiment tracking and model lifecycle management
- Feature Store, reusable ML feature engineering
- Unity Catalog, unified data governance across workspaces
- Databricks SQL, BI-ready query layer on the lakehouse
SAP HANA & BW
In-memory intelligence for SAP landscapes
SAP HANA and BW remain the backbone of analytics for many of the world's largest enterprises. We offer deep, certified expertise across the full SAP analytics stack, from classic BW/4HANA migrations to HANA native development and SAP Analytics Cloud deployments.
- BW/4HANA migration and modernisation
- HANA data modelling, Calculation Views, CDS Views
- SAP Analytics Cloud (SAC) reporting and planning
- BEx query design and optimisation
- ABAP development for HANA-optimised custom code
- SAP Data Intelligence, data orchestration and ML
Insight without visibility is just data. We build best-in-class analytics layers that make data accessible, actionable, and trusted across every level of the organisation.
Microsoft Power BI
Self-service BI for the Microsoft enterprise
Power BI is the leading self-service BI platform for Microsoft-aligned organisations. We design enterprise-grade semantic models, govern Power BI estates at scale, and build embedded analytics experiences that extend BI beyond the dashboard into core business applications.
- Enterprise semantic model design with Tabular/DAX
- Power BI Premium capacity governance and optimisation
- Paginated reports for regulated, print-ready outputs
- Embedded analytics integration into web and mobile apps
- Deployment pipelines and CI/CD for Power BI
- Power BI Dataflows, self-service ETL and certified datasets
Tableau
Visual analytics that drive action
Tableau's visual analytics platform transforms complex data into intuitive, interactive dashboards. We leverage Tableau's full capability, from desktop analysis to governed Tableau Server and Cloud deployments, to make data exploration accessible across every business function.
- Tableau Desktop design and advanced chart engineering
- Tableau Server and Tableau Cloud governance at scale
- Data source certification and published data source strategy
- Tableau Prep, visual data preparation and flow design
- Embedded Tableau analytics in enterprise applications
- Performance tuning and extract optimisation
From Oracle's enterprise databases to the Apache open-source ecosystem, we bring certified expertise and production-hardened experience to every layer of the modern data stack.
Oracle Database & Cloud
High-performance enterprise database and cloud
Oracle remains the trusted enterprise database for mission-critical workloads across regulated industries. We provide Oracle DBA services, performance optimisation, and Oracle Cloud Infrastructure (OCI) data platform engineering.
- Oracle Database design, administration, and tuning
- Oracle Data Integrator (ODI), ETL for Oracle environments
- Oracle Analytics Cloud, integrated BI and ML
- Oracle Cloud Infrastructure (OCI) data engineering
- Oracle to cloud migration strategy and execution
- RAC, Exadata, and high-availability architecture
Microsoft
The complete enterprise data ecosystem
Beyond Azure, Microsoft's on-premise and hybrid data stack remains deeply embedded in enterprise IT landscapes. We cover the full breadth, from SQL Server and SSIS through to the modern Microsoft Fabric platform.
- SQL Server design, optimisation, and DBA services
- SSIS & SSRS, on-premise ETL and reporting
- Microsoft Fabric, next-generation unified analytics
- SQL Server Analysis Services (SSAS), tabular and multidimensional
- Azure SQL & Managed Instance cloud migration
- Hybrid data integration across on-premise and cloud
Apache Spark
The engine powering large-scale data processing
Apache Spark is the de-facto engine for distributed data processing at scale. Our engineers bring deep expertise in Spark across multiple runtimes, Databricks, EMR, Dataproc, and self-managed clusters, building pipelines that process billions of records reliably and efficiently.
- Spark SQL, DataFrames, and Datasets API
- Structured Streaming, real-time pipeline engineering
- PySpark and Scala, production-grade pipeline development
- Spark performance tuning, partitioning, caching, join strategies
- Delta Lake and Apache Iceberg integration
- Multi-cloud Spark deployment (EMR, Dataproc, Databricks)
Apache Kafka
The backbone of real-time data infrastructure
Apache Kafka is the world's most adopted event streaming platform, enabling real-time data pipelines and event-driven architectures at scale. We design and engineer Kafka deployments across managed (Confluent, MSK, Event Hubs) and self-managed environments.
- Kafka cluster design, deployment, and operations
- Kafka Connect, source and sink connector engineering
- Kafka Streams, stateful stream processing applications
- Schema Registry and Avro/JSON schema governance
- Managed Kafka, Confluent Cloud, Amazon MSK, Azure Event Hubs
- Kafka-to-data-warehouse real-time ingestion pipelines
WE'LL HELP YOU CHOOSE RIGHT
Our platform-agnostic advisory service evaluates your workloads, cost profile, team capability, and governance requirements, then recommends the stack that serves your long-term interests.