— Technology stack

The technology stack we work with.

Pragmatic choices, not buzzword bingo. We pick technologies for the specific problem at hand — bias toward Microsoft Azure and Fabric for DACH enterprise environments, with best-of-breed alternatives where they fit.

— Stack categories

Six categories. Senior expertise across all.

Each tool earns its place in the stack only after it's proven its value in production engagements.

Category 01

Microsoft Data & BI

  • Power BI
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Azure SQL Database
  • Dataverse
  • Power Apps
  • Power Automate
Category 02

Cloud & Engineering

  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake Storage
  • SQL (T-SQL, PL/SQL, Postgres)
  • Python & PySpark
  • dbt (data build tool)
  • REST & GraphQL APIs
Category 03

AI & Analytics

  • Azure OpenAI / OpenAI / Anthropic
  • LangChain & LangGraph
  • RAG & vector databases (pgvector, Pinecone)
  • Forecasting & ML pipelines
  • Anomaly detection
  • Predictive analytics
  • Evaluation & observability frameworks
Category 04

Governance & Compliance

  • Microsoft Purview
  • Role-based access control (RBAC)
  • Data lineage & cataloging
  • DSGVO / GDPR-aware design
  • Data quality rules & monitoring
  • Documentation standards
  • Version control (Git, Azure DevOps)
Category 05

Visualization & Reporting

  • Power BI (executive & operational)
  • Grafana (real-time & IoT)
  • KPI cockpits & KPI trees
  • CFO dashboards & IFRS reporting
  • Self-service semantic models
  • Embedded analytics
  • Adoption analytics
Category 06

Streaming & IoT

  • Azure IoT Hub
  • Azure Stream Analytics
  • Azure Event Hubs
  • Apache Kafka
  • Real-time alert rules
  • Device telemetry pipelines
  • FHIR / HL7 (healthcare)

Tool selection is part of the engagement.

We don't sell tools. Tool choice is a deliverable: a written recommendation tied to your scale, team skill profile, regulatory environment and TCO. If you already have an investment in Microsoft, Databricks or Snowflake, we work with what you have — and only recommend change when the evidence is overwhelming.

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