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2026-01-28 16:49:46
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2026-01-28 16:49:46
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https://www.concurrencylabs.com/blog/starburst-presto-vs-aws-redshift/
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Querying 8.66 Billion Records - a Performance and Cost Comparison between Starburst Presto and Redshift
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Sooner or later most application owners need to analyze large amounts of data. From system and application logs, to usage and business metrics or external datasets, there is always very valuable information to be extracted from many data sources. Therefore, chances are you or your team will have to take a close look at many of the Big Data analysis tools out there - if you aren’t already doing so. The good news? Whatever your needs are, you’ll likely be covered. The problem? Handling and analyzing large amounts of data is inherently complicated, particularly in areas such as infrastructure setup (i.e. compute, storage, automation), data setup, learning curve, performance and potentially high cost. In this article, I will focus on three very interesting tools designed to analyze large amounts of data: Starburst Presto, Redshift and Redshift Spectrum. What are the main differences between these three solutions? Presto is an open source distributed ANSI SQL query engine. Presto...
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