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The WARC file format is widely used by web archives to preserve collected webcontent for future use. With the rapid growth of web archives and theincreasing interest to reuse these archives as big data sources for statisticaland analytical research, the speed to turn these data into insights becomescritical. In this paper we show that the WARC format carries significantperformance penalties for batch processing workload. We trace the root cause ofthese penalties to its data structure, encoding, and addressing method. We thenrun controlled experiments to illustrate how severe these problems can be.Indeed, performance gain of one to two orders of magnitude can be achievedsimply by reformatting WARC files into Parquet or Avro formats. While theseresults do not necessarily constitute an endorsement for Avro or Parquet, thetime has come for the web archiving community to consider replacing WARC withmore efficient web archival formats.

The Case For Alternative Web Archival Formats To Expedite The Data-To-Insight Cycle