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> A relational database without relations is an oxymoron.
OK. You're the only one talking to this straw man though. :-) Every Vitess user that I'm aware of has a pretty typical 2NF/3NF schema design. A small sampling of them being listed here: https://vitess.io
You setup your data distribution/partitioning/sharding scheme so that you have data locality for 99.9999+% of your queries -- meaning that the query executes against a data subset that lives on a single shard/node (e.g. sharding by customer) -- and you live with the performance hit and consistency tradeoffs for those very rare cases that cross shard queries cannot be avoided (Vitess does support this). You should do this even if the solution you're using claims to have distributed SQL with ACID and MVCC guarantees/properties. There's no magic that improves the speed of light and removes other resource constraints. In practice most people say they want perfect security/consistency/ but then realize that the costs (perf, resources, $$, etc) are simply so high that it is not practical for their business/use case.
I know MySQL fairly well (I started working at MySQL, AB in 2003) and you can certainly claim that "MySQL-compatible" is dishonest but I would offer a counter claim that either you don't know this space very well or you're not operating in good faith here.
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We used https://github.com/Percona-Lab/sysbench-tpcc, which the folks at Percona did a good write up of here https://www.percona.com/blog/2018/03/05/tpcc-like-workload-s.... For these tests, we ran with --tables=1 and --scale=1000.
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WorkOS
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Bedrock
Rock solid distributed database specializing in active/active automatic failover and WAN replication (by Expensify)
This is not SQLite though, also the test is trivial compared to TPC: https://github.com/Expensify/Bedrock/blob/dbarrett_perftest/...
