Efficient processing of large-scale genomic datasets has recently become possible due to the application of big data technologies in bioinformatics pipelines. We present SeQuiLa-a distributed, ANSI SQL-compliant solution for speedy querying and processing of genomic intervals that is available as an Apache Spark package. Proposed range join strategy is significantly (xe2x88xbc22xc3x97) faster than the default Apache Spark implementation and outperforms other state-of-the-art tools for genomic intervals processing.