Data platforms and tools that run in daily operation.

Built to be used every day, documented, and handed over to your team.

  1. Collect

    We connect your sources (databases, machines, files and APIs) with pipelines, Kafka and message queues.

  2. Store

    We choose the database per data type: relational, NoSQL, time-series, search, image and video.

  3. Process

    We run scripted code directly on streams and queries, and batch jobs where they fit.

  4. Use

    We build the tools, dashboards and interfaces people work with every day.

Typical work

  • Data platforms and pipelines
  • Integration of existing systems
  • Internal tools and dashboards
  • Online and batch data processing

Evidence

Often combined with

Data in too many places? Tell us the problem.

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