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DiffusionData Wins “Best Data Ops Solution Provider” at the Data Management Insight Awards Europe 2025

DiffusionData Wins “Best Data Ops Solution Provider” at the Data Management Insight Awards Europe 2025

Diffusion wins two awards and is shortlisted for Twelve Awards
DiffusionData, the pioneer and leader in real-time data streaming, today announced that it has received the award for “Best Data Ops Solution Provider” at the Data Management Insight Awards Europe 2025. The awards acknowledge the leading providers of data management solutions, services and consultancy services to capital markets across Europe. The awards are overseen by an Advisory Board who help shape the categories and review the nominations alongside A-Team Groups Editors.
Grethe Brown, CEO of DiffusionData, said: “This has been an exemplary year for DiffusionData in terms of award recognition, underscoring the market’s growing demand for real-time data streaming solutions that cut development time, reduce operational costs, and accelerate innovation. Winning the award for Best Data Ops Solution Provider at the Data Management Insight Awards Europe 2025 further validates the transformative impact of Diffusion.”
Brown continued: “We are not just meeting an industry need; we are leading it. Our solution stands apart from traditional tools, setting a higher standard for what enterprises can expect from modern data streaming technology.”
Earlier in the year, DiffusionData won the 2025 Data Management Insight Awards USA for “Best Data Ops Solution Provider”. In addition, it has been shortlisted for awards in many diverse sectors:
DiffusionData supplies real-time context with event-driven pub/sub, delta streaming, flow control, and hierarchical topics, reducing payloads and latency while keeping autonomous workflows synchronized with real-world change. It is used by companies worldwide in sectors such as financial services, iGaming, retail, travel and transportation, and digital media. It is purpose-built to simplify and speed data-driven, real-time application development, reduce operational costs, and economically deliver personalised data.

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