SPARKSQL RDF Benchmark.

A systematic Benchmarking on the performance of Spark-SQL for processing Vast RDF datasets

This project is maintained by DataSystemsGroupUT

Figures of experiment results for Storage Backends


These figures show the comparative representation of Storage backends (i.e. HDFS [CSV,AVRO, PARQUET, ORC], and HIVE) for 100M, 250M, and 500M respectively.

*Please note that the following ranking figures include Hive as a 5^th storage backend. However, we have excluded Hive and for simpolicity kept only the HDFS storage file formats (CSV, AVro, ORC, and Parquet). Figures of ranking the storage dimension (excluding Hive) can be shown here.

100M Triples Storage BackendsRanking Scores

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250M Triples Storage Backends Ranking Scores

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500M Triples Storage Backends Ranking Scores

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