Data Platforms
Data platforms that turn complexity into clarity
Good things start with a solid data foundation. evoila designs, builds and operates yours: the pipelines that move your data, the databases that hold it, and the platform beneath them. Four areas, one team that plans and runs what it builds. Find the one that fits where you are today
Data Platforms
Data platforms that turn complexity into clarity
Good things start with a solid data foundation. evoila designs, builds and operates yours: the pipelines that move your data, the databases that hold it, and the platform beneath them. Four areas, one team that plans and runs what it builds. Find the one that fits where you are today
Find the approach that fits your data
Modern data ecosystems fail when they rely on fragmented silos and brittle configurations. Whether your goal is to feed accurate metrics to your business intelligence teams or scale real-time generative AI models in production, you need an infrastructure that delivers raw data reliably from source to insight without constant manual intervention.
evoila bridges the gap between complex infrastructure engineering and production-ready applications. Discover our four core disciplines designed to stabilise your databases, automate your streaming data pipelines and establish a secure, unified foundation tailored to your exact regulatory and workload requirements.
Your data holds value. Every data platform is different
Generic cloud blueprints fail to respect your custom application logic. Let’s identify the precise software stack and framework that matches your performance targets.
Not sure where to start?
Tell us about your current storage bottlenecks, data silo challenges, or streaming requirements. Drop us a brief note below, and a senior Data Solution Architect will instantly sync up with your engineering team.
Yannic Remmet-Zarotiadis
Unit Lead – Data Platform Engineering
FAQs
Data Platforms is our umbrella for everything that makes data usable at scale. It covers four disciplines: Data Platform Engineering for the underlying architecture, Database as a Service for managed database operations, Data Engineering for building reliable data pipelines, and AI Platform for bringing machine learning and generative AI into production. Together, they form the foundation for analytics, AI, and data-driven decision-making.
evoila works technology-agnostic and selects the right stack for each use case. Common technologies include Databricks, Microsoft Fabric, Apache Kafka, Apache Spark, Elasticsearch, PostgreSQL, MongoDB, and Redis. Deployments run on bare metal, VMs, containers, or major hyperscalers like AWS and Azure — depending on your existing infrastructure.
That depends on the scope. A focused database deployment or initial pipeline can go live within weeks. Larger platforms with multiple data sources, streaming components, and complex governance requirements are built iteratively over several months. evoila supports the entire journey from strategy through to go-live and ongoing operations.