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Partners

Technology Partners

Driving exceptional data outcomes through world-class technology.

Combining deep technical expertise with leading data technologies we’ll help you deliver modern, scalable, and business-aligned data solutions. Our technology partnerships enable us to accelerate delivery, reduce risk, and ensure our clients unlock meaningful, measurable value from their data assets.

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SAP

Powering mission-critical business transformation with trusted data, AI and enterprise applications

SAP helps the world’s leading enterprises connect finance, supply chain, HR, procurement and customer operations through intelligent, integrated business applications. With SAP Business Suite, SAP Business Data Cloud and SAP Business AI, organisations can unify mission-critical data, embed trusted AI into core processes and move from fragmented operations to faster, more confident business outcomes.

Built for Mission-Critical Enterprise Processes
SAP is trusted by enterprises to run the core processes that keep business moving, from finance and supply chain to HR, procurement and customer operations. Its integrated application landscape helps organisations connect decisions to execution across every business function.
A Trusted Foundation for Business AI
SAP Business AI and Joule bring AI into the flow of work, grounded in business context, process knowledge and governance. This gives enterprises a safer route to AI adoption, where automation and insight are connected to how the business actually runs.
Unified Data with Business Context
SAP Business Data Cloud helps unify and govern SAP and third-party data while preserving the business meaning behind it. Enterprises can create a trusted data foundation for analytics, planning and AI without rebuilding context downstream.
Cloud Transformation Without Losing Control
SAP supports enterprise cloud transformation through modular, extensible solutions designed to modernise complex SAP estates at a controlled pace. Businesses can innovate faster while maintaining governance, security and a clean core.
Industry Depth and Enterprise Scale
With deep industry capability and decades of enterprise process expertise, SAP helps organisations standardise, optimise and scale operations globally. Its ecosystem gives businesses the flexibility to extend, integrate and adapt as priorities change.

Snowflake

Powering the next generation of AI-driven data platforms

Snowflake continues to be the strategic heart of modern data architectures – and its latest wave of innovations transform Snowflake from a high-performance data platform into an intelligent, interconnected ecosystem for Enterprise AI, built for scale.

Built for AI-Driven Insights
Native AI capabilities including Snowflake Intelligence and Cortex Code allow enterprises to build, query and act on data using natural language and in-platform AI functions, accelerating insight generation.
High Performance at Enterprise Scale
The New Standard Warehouse Gen2 architecture delivers more than 2× faster analytics performance, ensuring responsive dashboards, pipelines and workloads without any code changes.
Unified, Open and Interoperable Data
With enhanced Apache Iceberg support and Snowflake Postgres, enterprises can unify transactional, analytical and AI workloads in one seamlessly connected platform.
Streamlined Data Movement with Openflow
Snowflake Openflow provides fast, unified ingestion across multiple data types, reducing third‑party ETL dependency and accelerating time‑to‑insight.
Enterprise-Grade Governance and Security
Automated sensitive data classification, immutable backups and advanced lineage give enterprises strong, built‑in governance for compliant AI and analytics at scale.

Databricks

Unifying data, analytics and AI in the Lakehouse

Databricks brings together engineering, analytics and machine learning in a single Lakehouse architecture. With Delta Lake, Unity Catalog and MLflow, it provides a governed, scalable environment for building enterprise‑grade AI.

One Unified Lakehouse Platform
Databricks blends the flexibility of data lakes with the reliability of data warehouses to support BI, ML and real‑time workloads.
Governed Data Management with Unity Catalog
A single governance layer centralises permissions, lineage and sharing across all data and AI assets.
Reliable Storage with Delta Lake
ACID transactions, schema enforcement and time travel ensure consistent pipelines and trustworthy data foundations.
End‑to‑End ML Lifecycle
MLflow powers experiment tracking, model registry and deployment for repeatable and scalable ML operations.
Optimised and Automated Pipelines
Declarative pipelines integrate directly with Unity Catalog to deliver governed, production‑ready streaming and batch flows.

Fivetran

Delivering reliable, automated data movement at scale

Fivetran provides fully managed, automated ingestion pipelines that centralise enterprise data with zero maintenance. It reduces integration overhead and accelerates analytics readiness.

Zero‑Maintenance Data Pipelines
99.9% reliable connectors handle the full extraction‑and‑load process without engineering overhead.
Automatic Schema Drift Handling
Fivetran continually adapts to API and schema changes, ensuring uninterrupted, analytics‑ready data.
Enterprise Security and Control
Hybrid deployment, private networking and customer‑managed keys support strict governance requirements.
Hybrid deployment, private networking and customer‑managed keys support strict governance requirements.
APIs, SDKs and catalog integrations enable programmatic control and seamless integration into enterprise orchestration.
Optimised for Modern Lakehouse Architectures
Native destinations for Snowflake and Databricks ensure fast, consistent loading into governed cloud environments.

AWS

Powering resilient, secure and scalable cloud foundations

AWS underpins many of our enterprise data platforms with the global scale, reliability and security needed to support mission‑critical analytics and AI workloads. Its mature ecosystem and Well‑Architected principles provide a trusted foundation for long‑term data strategy.

Global Reach and Resilience
A vast global infrastructure with multiple Availability Zones per Region ensures low‑latency, fault‑tolerant environments for high‑availability data workloads.
Enterprise‑Grade Security
AWS’ Well‑Architected Security pillar embeds strong identity, encryption and monitoring practices essential for regulated industries.
Performance and Efficiency at Scale
Autoscaling, Graviton processors and managed services allow predictable performance and efficient resource consumption for demanding analytics.
Reliable, Managed Services
A mature portfolio, spanning compute, storage, integration and networking, supports stable, future‑proof platform architectures.
Built for Governance and Compliance
Deep compliance coverage and auditing capabilities help enterprises maintain strong governance across global data operations.

Matillion

Accelerating data productivity with AI‑enhanced, enterprise‑ready ELT 

Matillion helps modern data teams build fast, governed and scalable pipelines through its cloud‑native Data Productivity Cloud. With powerful push‑down processing, an intuitive low‑code experience and new AI‑driven capabilities through Maia, Matillion streamlines the entire ELT lifecycle.

AI‑Accelerated ELT with Maia
Matillion’s new Maia capabilities bring intelligent assistance into every stage of ELT development, helping teams design, optimise and document pipelines faster while reducing manual effort.
High‑Performance Push‑Down Processing 
Matillion compiles transformations into warehouse‑optimised SQL, ensuring workloads execute at full Snowflake performance and deliver rapid, reliable data processing at scale.
Rapid, Low‑Code Orchestration for Modern Teams
A streamlined, browser‑based interface enables fast iteration, intuitive job design and efficient orchestration, supporting distributed data teams with a consistent development experience.
Extensive, Enterprise‑Ready Connectivity
A broad library of pre‑built connectors accelerates ingestion from SaaS, databases and APIs, providing a robust foundation for centralising data across the enterprise.
Governed, Collaborative ELT at Scale
Built‑in version control, shared environments and standardised deployment patterns ensure strong governance, repeatability and operational confidence for enterprise‑grade data pipelines.

Sigma

Empowering business users with governed, warehouse‑native analytics

Sigma provides spreadsheet‑like analytics experience directly on Snowflake, enabling business teams to explore live data at scale without extracts or complex tooling.

Spreadsheet‑Native Analytics
A familiar UI lets business users analyse billions of rows without learning SQL.
Live, Secure Queries on Snowflake
All queries run directly in Snowflake, keeping data fresh, accurate and governed.
Native Semantic Integration
Snowflake Semantic Views flow directly into Sigma for governed metrics and consistent definitions.
AI‑Enhanced Exploration
AI‑assisted features accelerate analysis, workbook creation and insights for non‑technical users.
Collaboration and Embedding
Shared workbooks, governed embedding and granular permissions support enterprise‑wide analytics adoption.

Dataiku

Scaling enterprise AI with governance, collaboration and control

Dataiku is an end‑to‑end AI and analytics platform that helps enterprises build, deploy and govern machine learning and generative AI responsibly and at scale.

Unified AI and Analytics Platform
Bring data prep, AutoML, model development and deployment together in one collaborative environment.
AI Governance Built‑In
Dataiku Govern enforces approvals, auditability, risk controls and GenAI registries across all AI initiatives.
Centralised Model Registry
Track status, versions and drift across hundreds of models with a single system of record.
Robust Enterprise MLOps
CI/CD, drift analysis and monitoring provide production‑grade operations for ML and GenAI workloads.
Transparent and Explainable AI
Built‑in interpretability tools, feature importance, what‑if analysis and row‑level explanations that ensure trust and compliance.

Pyramid Analytics

Enterprise-wide decision intelligence through governed, AI-enhanced analytics 

Pyramid Analytics provides a unified decision intelligence platform that brings data preparation, business analytics and machine learning together in a single, governed environment. With direct query capabilities, AI‑assisted insights and an open, scalable architecture, Pyramid enables enterprises to turn complex data into trusted, actionable decisions — all without extracting data or relying on fragmented BI tools.

Unified Decision Intelligence Platform
Pyramid combines data prep, analytics and data science in one environment, giving organisations a consistent, end‑to‑end workflow for generating insights at scale.
Direct Query on Enterprise Data
Its high‑performance direct query engine connects to cloud and on‑prem data sources without extracts, ensuring fast, consistent and governed access to live data.
AI‑Driven Insights and Modelling
Built‑in AI and automation support guided analytics, smart model generation and advanced statistical techniques that will empower users across skill levels.
Governed, Enterprise‑Grade Analytics
Centralised governance, security and version control ensure that metrics, definitions and decision workflows remain accurate, compliant and consistent organisation‑wide.
Open, Scalable Architecture
A modular, cloud‑ready platform integrates seamlessly with existing data ecosystems, supporting flexible deployment and the ability to scale analytics across the enterprise.

dbt

Elevating data transformation with scalable, reliable and version-controlled analytics engineering

Dbt empowers modern data teams to transform, test and document data directly in the warehouse using software‑engineering best practices. By standardising SQL-based transformations, providing automated lineage, and enabling collaborative development through version control, dbt helps enterprises deliver trusted, production‑ready data models at speed. Its modular, test‑driven approach ensures consistent pipelines, reduces operational risk and keeps analytics teams aligned around a single source of truth.

Software‑Driven Analytics Engineering
Brings engineering discipline (testing, CI/CD, modular code) to SQL transformations for reliable, maintainable pipelines.
Warehouse‑Native Performance
Executes transformations directly in Snowflake and Databricks for fast, scalable, cost‑efficient processing.
Automated Lineage and Documentation
Generates always‑up‑to‑date lineage and documentation, improving transparency and auditability across teams.
Collaborative Development Workflows
Git‑integrated workflows support peer review, shared standards and governed analytics development.
Trusted, Production‑Ready Models
Built‑in testing ensures data quality, preventing broken dashboards and accelerating delivery of analytics value.

Microsoft

Accelerating enterprise AI and analytics with a secure, scalable and deeply integrated cloud ecosystem

Microsoft provides the trusted cloud foundation that underpins many of Snap Analytics’ enterprise‑scale data platforms — enabling secure data operations, governed AI development and seamless interoperability across Azure, Fabric, Power BI and wider Microsoft technologies. With Microsoft Fabric unifying data engineering, data science and analytics into one SaaS-native platform, and with Azure’s global resilience and compliance, Microsoft helps enterprises modernise complex data estates, unlock AI safely and operationalise insights end‑to‑end.

Unified Analytics with Microsoft Fabric
Fabric brings data engineering, real‑time analytics, data science and BI into a single, integrated platform — ideal for Snap’s modern data and AI architectures.
Enterprise‑Grade Security and Compliance
Azure’s identity, encryption and governance foundations support highly regulated industries and large‑scale enterprise data operations.
Seamless Integration Across the Microsoft Ecosystem
Power BI, Azure ML, Synapse and Fabric work together natively, reducing integration overhead and accelerating time‑to‑value.
AI‑Ready Infrastructure and Services
Azure OpenAI and ML‑optimised compute enable enterprises to build scalable, governed generative AI and predictive models.
Optimised for Global Scale and Reliability
Microsoft’s global cloud footprint, resilience patterns and mature tooling provide a stable, future‑proof core for mission‑critical analytics workloads.
From data complexity to AI outcomes – let's map your next step

If you’re exploring how to modernise your data stack and unlock real AI value, a quick conversation with our team can accelerate your next step.  

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Choose a time that suits you; we’ll focus on your goals and the fastest path to impact. 
What you’ll get from us
Practical guidance on next steps tailored to your context – no jargon, no fluff.  
Outcome-first
If there’s a faster, lower-risk way to prove value, we’ll recommend it.  
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