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Picnic Modernizes Data Architecture with Confluent for Streaming Analytics

芦Confluent ofrece exactamente lo que hab铆amos so帽ado: un ecosistema de herramientas para source y sink de datos a partir de data streams. No solo nos ha ofrecido una gran agilidad y flexibilidad de data pipeline , sino tambi茅n una infraestructura muy simplificada que nos ha permitido reducir costes禄.

DIMA KALASHNIKOV | Responsable t茅cnico


Address legacy tech-related operational overhead and scalability issues to allow for better customer behavior analytics and improve internal processes.


Confluent Cloud helps Picnic save time and money by reducing operational overhead and allowing for real-time processing and easy scalability of event data.


  • Reduced infrastructure costs by 40%
  • Simplified, future-proof data architecture
  • Improved infrastructure monitoring for better SLAs and system health
  • Elimination of data loss

Picnic is Europe鈥檚 fastest-growing online-only supermarket, currently operating in France,the Netherlands, and Germany. The company relies heavily on data-driven decisions to provide the lowest-price guarantee to its customers. Picnic processes more than 300 million unique events per week from customer applications (i.e., shopping applications) and internal systems to power predictive analytics in their data warehouse.

Picnic鈥檚 blazing-fast growth, attributable to consumer demand, industry recognition, and a successful series B funding, underpinned the need to seek out a better performing and more reliable data streaming platform, as well as improved streaming analytics capabilities. That鈥檚 when Picnic turned to Confluent.

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