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> You can’t just cherry-pick the one query where a given product is the fastest. The workloads in the database domain have broad requirements Well you can if t
by smegel 10y ago
> You can’t just cherry-pick the one query where a given product is the fastest. The workloads in the database domain have broad requirements
Well you can if that test matches the use-case of the database. Big Data databases are not like transnational databases, tend to perform column oriented analytics and tend to not join very well (they may lack indexes altogether).
I find this post to be more misleading than Google - he seems to be conceitedly ignoring the fact that many specialised databases exist that do certain things really well - and selecting tests that match their use-case is entirely appropriate.
- ranman 10y agoI'm primarily trying to point out that google's repeated claims that their performance on TPC-H #22 means that BQ is categorically better than Amazon Redshift are misleading. Also I think you meant transactional not transnational
- timv 10y agoI'm not the parent poster, but I agree with his/her sentiment. I understand what your purpose was, but the blog entry would have felt more balanced if you'd said something like: It's true that for a small subset of queries, BigQuery out-performed RedShift. If your workload is similar to those queries then BigQuery may be a good match for you, but our testing shows that for general purpose datawarehousing / analytics workloads, RedShift is the better performing database and would be more suitable for most customers.
- twalk 10y agoSeems that Periscope Data Research from 10/21/2016 agrees with the article's premise. Data driven information is always best when making any comparisons, and since these data points are from a 3rd party I figured this article would be great to share: https://adtmag.com/articles/2016/10/21/periscope-touts-redshift.aspx https://adtmag.com/articles/2016/10/21/periscope-touts-redsh...