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Database query performance prediction is predicting query latency time. Database query latency prediction technology can be used for query scheduling and query progress indicator. However, current query performance prediction techniques have some limitations and often to be hard to accurately predict the query latency caused by concurrency queries in distributed database, because of CPU and I/O resource contention. In order to solve this problem, this paper proposes a technique to predict concurrent OLAP query latency in distributed database. The proposed method measures the intensity of competition in resource (I/O, network) by setting up CQI(Concurrent Query Interference) and QS(Query Sensitivity) models , And predicts the query performance under different execution environments accordingly. The experimental results of TPC-DS show that the mean relative error of analytical query prediction is less than 25%, which shows that the technology can predict the query execution time more accurately.