Architecture & Engineering
Connect your existing systems to unlock the value of your data.
Your data is there, but scattered across dozens of systems that don't talk to each other. We design and deploy the Data platforms that centralize and organize your data and make it usable across the entire organization.
+150 companies supported
— 5/5 on Google
Benefits / Impact
What it delivers
Tangible results for your organization, measurable from the very first weeks of the engagement.
01
Unified access to all your data
No more manual extracts and Excel files sent back and forth by email. Your teams access consolidated, up-to-date and reliable data from a single entry point.
02
AI-ready infrastructure
There is no high-performing AI model without a solid Data platform. The infrastructure we build directly feeds your analytics use cases and your future artificial intelligence systems.
03
Controlled infrastructure costs
Right-sized architecture, optimized cloud resources and no more redundancies. You pay for what you use, not for what you store twice.
04
Seamless integration with your existing IT systems
We don't replace your technical ecosystem. We connect your ERP, CRM, business tools and external sources within a coherent architecture that respects your constraints.
05
Autonomy for business teams
Data Analysts and Data Scientists access data without relying on IT for every request. The platform is designed to be used, not administered.
Chapters
Our expertise
The skills and know-how we bring to produce results in this area of expertise.
Tools / Partnerships
How we put this expertise into practice
We are technology agnostic and work with the three leading cloud providers. Our choice of tools is driven by your existing context, your data volumes and your security constraints.
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Power BI
Amazon Web Services
Google Cloud
Azure
Apache Airflow
Project types
What we deliver
Operational deliverables, not recommendations. Here are the engagement formats we deploy in this area of expertise.
01
Data Platform design and deployment
End-to-end cloud architecture: data ingestion, storage, transformation and distribution. From specification to go-live, with documentation and knowledge transfer.
02
Data infrastructure modernization
Migrating your on-premise or legacy systems to a modern cloud architecture. Lower costs, better performance and no more technical debt.
03
Data pipeline development
Developing and industrializing ETL/ELT flows that feed your analytics and AI use cases. Automated, tested and monitored pipelines.
04
Integration of heterogeneous sources
Connecting all your internal and external systems within a unified Data ecosystem. APIs, connectors, real-time or batch synchronization as needed.
Business Cases
They transformed their Data infrastructure with us
We don't deliver POCs. We deliver systems that work, with a measurable impact on our clients' business.
Your questions, our answers
Everything you need to understand our approach, how we work and what you can expect from working with us.
What is a data platform?
A data platform is a centralized infrastructure that collects, stores and makes available data from all your business systems in a usable format. Diametral designs and deploys cloud data platforms that eliminate manual extracts, put an end to sharing Excel files and give your teams a single point of access.
Why modernize your legacy systems?
Modernizing legacy systems unlocks the value of data stored in older applications, reduces maintenance costs and enables AI use cases. Diametral modernizes step by step with a cloud-native approach that coexists with your existing systems, avoids a big bang and delivers measurable gains from the very first weeks.
How much does a cloud data platform cost?
The cost of a cloud data platform depends on data volume, the number of sources and the target use cases. Diametral right-sizes the architecture from the Design phase, avoids the usual over-provisioning and applies FinOps principles from the outset so that every euro of compute is justified by business value.
How do I integrate a data platform with my ERP/CRM?
Diametral integrates the data platform with ERPs (SAP, Oracle, Microsoft) and CRMs (Salesforce, HubSpot) through native connectors, APIs and ELT pipelines. This integration happens without replacing your existing tools, relying on application events and master data repositories to keep data flows consistent.
What is the difference between ETL and ELT?
ETL transforms data before loading it into the warehouse, whereas ELT loads raw data and then transforms it inside the cloud. Diametral favors ELT for modern architectures because it leverages the native compute power of cloud data warehouses (Snowflake, BigQuery, Databricks) and greatly speeds up analytics iterations.
contact
Your data deserves the right infrastructure.
Describe your technical context. A Diametral Data architect will assess with you the first initiatives to launch.