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The storage of IP traffic traces increasingly grows more complex, since data flows tend to increase largely over time. Network operatorpsilas backbones generate each day hundreds of gigabyte of IP flow records that need to be stored and analyzed. Handling such amount of data requires a high-performance hardware and software. One way to leverage performance requirements of a storing and analysis of traffic data is to design a distributed platform to replace centralized solutions existing today. This paper designs a scalable storage platform for IP flow records. The evaluation of the implemented prototype shows that such an approach can offer a good and practical solution for storing and retrieving high amounts of IP flow records.