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Bigdatastack

Enfield, United Kingdom
Data-first stack powering high-performance big data operations
Who BigDataStack is BigDataStack delivers a high-performance, data-centric stack designed specifically for big data applications and operations. The company focuses on building a technology foundation that helps organizations run demanding data workloads with the performance, reliability and operational clarity required at scale. Based in Brussels, BigDataStack positions itself as a pragmatic technical partner for teams that need predictable, production-ready big data infrastructure. Core services and expertise At its core, BigDataStack develops and optimizes a stack that prioritizes data throughput, low latencies and operational stability. The company’s expertise centers on creating modular, high-performance layers that support large-scale data processing and the practical needs of both application teams and operations teams. This includes architecture choices, performance tuning and building components that integrate into existing data workflows. Approach and methodology BigDataStack adopts an engineering-first, data-centric approach. The team emphasises measurable improvements — benchmarking, profiling and iterative refinement are central to how they work. By focusing on observable outcomes, they ensure the stack delivers reliable behavior under production stress. The approach is collaborative: aligning with developers and operators to reduce complexity and make the stack easier to adopt and maintain. Value proposition and differentiators What sets BigDataStack apart is its singular focus on performance and operations for big data scenarios. Rather than offering a broad, unfocused portfolio, the company concentrates on the intersection of application demands and operational requirements, delivering a stack that helps reduce engineering toil, increase efficiency and improve predictability in production. Closing BigDataStack aims to make high-performance data infrastructure accessible and dependable. Organizations looking to bring real-world predictability to their big data applications and operational processes will find a purpose-built, performance-oriented stack and a team committed to pragmatic engineering.
2 people in their team
Speaks English, French, Dutch
Sortlist member since 2025
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  • Description
    We turn web analytics into production-ready big data pipelines, benchmarking and tuning our stack for predictable throughput, low latency and operational simplicity.
    Skills in Web analytics/Big data (4)
    Big Data AnalyticsBig Data ConsultingWeb Analytics Big DataBig Data Process Improvement Consulting

    Learn more about Web analytics/Big data

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2 members in Bigdatastack's team

StoryWe started BigDataStack because we saw a gap between raw data potential and the real-world performance of big data systems. We believe data should drive decisions without being held back by brittle infrastructure. Every day we refine a high-performance, data-centric stack engineered to support both demanding applications and the operational teams that run them. Our work is hands-on: benchmarking, tuning and iterating until throughput, latency and reliability meet production needs. We take pride in making complex big data patterns feel predictable and manageable. For us, success is when developers can focus on features and operators can run workloads confidently — that practical impact keeps us building and improving the stack.
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  • Headquarter42 Chase Side, EN2 6NB London, United Kingdom