Data & AI Technologies | Anexia Digital Engineering

Data & AI, fully engineered.

Dependable AI needs a solid data foundation. We own the whole stack, across databases, streaming and machine-learning frameworks.

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The whole data lifecycle.

We choose data technologies by access pattern and load: PostgreSQL for transaction-safe, ACID-compliant models, MongoDB for flexible schemas, Elasticsearch for search in the millisecond range. For real-time we use Apache Kafka and Spark Structured Streaming, and prediction models are built with TensorFlow or PyTorch.

  • Storage by need

    PostgreSQL for relational data, MongoDB for document-based data, Elasticsearch for search.

  • Data streams

    Apache Spark and Kafka for batch and real-time processing.

  • Machine Learning

    TensorFlow and PyTorch for deep learning and production models.

  • Foundation first

    Reliable pipelines and a clean warehouse as the basis.

Technologies

Our data & AI stack.

Technologies

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Foundation first. Solid data, real models.

Sketch out your data sources and access patterns: we design the stack across storage, streaming and modelling, and lay the groundwork that AI predictions can stand on.

Guidance

Right technology, right job.

Store

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  • PostgreSQL

    Consistent relational data and transactions.

  • MongoDB

    Flexible documents for changing structures.

  • Elasticsearch

    Search and analysis in seconds.

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Process

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  • Apache Spark

    Distributed processing of large data volumes.

  • Kafka

    Event streams for real-time pipelines.

  • ETL & dbt

    Versionable, testable transformations.

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Analyse & AI

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  • Power BI / Tableau

    Dashboards for business teams.

  • TensorFlow / PyTorch

    Models for prediction and detection.

  • Predictive Analytics

    Predictions with concrete business value.

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