2026-01-07 07:28:27

Stop making unfair blockchain comparisons—the real distinction lies in execution architecture.

When evaluating throughput and settlement speed, you need to separate sequential processing from parallelized systems. The numbers tell the story:

Base operates at roughly 1.4k TPS with approximately 16-minute finality using sequential processing. Ethereum sits at around 119 TPS with 6-minute finality, also relying on sequential execution. Compare this to Sei, which achieves 12.5k TPS with approximately 400-millisecond finality through parallelized execution.

The performance gap isn't a design flaw in some chains—it's a fundamental architectural choice. Sequential processors handle transactions one after another, while parallelized systems process multiple transactions simultaneously when dependencies allow. This is why finality speed and transaction throughput differ so dramatically. Understanding this distinction matters when evaluating blockchain scalability and choosing where to deploy applications.

ETH-3.7%

SEI-4.86%

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MetaverseHomeless

· 01-07 07:55

Haha, finally someone clarified it. The difference between sequential and parallel has been overhyped, and some people still don't get it... Sei's 400ms finality is indeed impressive, but the prerequisite is that the ecosystem needs to keep up. No matter how high the TPS is, without applications, it's all pointless.

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BitcoinDaddy

· 01-07 07:54

Wow, someone finally explained it clearly. Not all chains should be compared based on TPS, bro.

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DaoGovernanceOfficer

· 01-07 07:49

ngl this sequential vs parallel framing is just *the* framework everyone's ignoring when they shill their chain... empirically speaking, the data suggests most devs still don't grasp why finality actually matters for protocol health lol

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OvertimeSquid

· 01-07 07:44

Differences in architecture can indeed be easily overlooked, but honestly, Sei's parallel processing reaching 12.5k TPS is quite impressive. That said, these numbers look great on paper, but whether they hold up in real-world operation is another matter. Parallel ≠万能; it depends on whether the ecosystem is strong enough.

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rugged_again

· 01-07 07:44

Haha, alright. To be honest, it's just a difference in technical approach. Comparing a sequential processing chain to parallel processing is just funny to begin with.

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DegenGambler