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The ATLAS EventIndex has been in operation since the beginning ofLHC Run 2 in 2015. Like all software projects, its components have been constantlyevolving and improving in performance. The main data store in Hadoop,based on MapFiles and HBase, can work for the rest of Run 2 but new solutionsare explored for the future. Kudu offers an interesting environment, with amixture of BigData and relational database features, which look promising atthe design level. This environment is used to build a prototype to measure thescaling capabilities as functions of data input rates, total data volumes and dataquery and retrieval rates. In this proceedings we report on the selected dataschemas and on the current performance measurements with the Kudu prototype.

A prototype for the evolution of ATLAS EventIndex based on Apache Kudu storage