Flow Speed
Any developer who has ever tried to build an application using Ethereum is aware of its scalability problem: the throughput of the Ethereum network is only around 13-15 transactions per second, which makes it quite insufficient for large-scale use.
While Ethereum views sharding as a way to scale the blockchain horizontally, Flow uses its multi-node architecture to enable vertical scalability. The architecture of the nodes is structured in such a way that the work to be done is divided between them.
As we see the average percentage of successful transactions remains at 90-95%, but at the end of May this figure dropped to 20%. In terms of transaction throughput, back in 2019, the Flow prototype was able to execute about 1,000 transactions per second. Now the target is to reach 10,000 tps. But now we see that FLOW lags behind Ethereum in the number of transactions per minute by only a couple of percent.