Despite some complaints, Ethereum is still one of the most influential blockchain platforms. It runs smart contracts, decentralized finance applications (DeFi), tokens and more. But compared with everyday payment systems, and even many newer blockchains, Ethereum can feel slow and costly.
As demand grows, the perceived slowness raises questions about whether the ecosystem is keeping up and what can realistically fix it.
Why Ethereum feels slow
Ethereum’s main chain, called Layer 1 or L1, was not built for high‑speed mass payments. On the base layer, every transaction must be verified and agreed by many independent validators. This ensures security and decentralization, two pillars of Ethereum’s design, but it also means transactions are processed in a queue, not in parallel.
Theoretical throughput for Ethereum’s mainnet hovers in the low hundreds of transactions per second (TPS), but average practical throughput is much lower – closer to a few dozen per second for simple transfers. That contrasts with systems like Visa, which can handle more than 40,000 payments per second.
Smart contracts and decentralized applications (dApps) often require multiple transactions for a single action. High demand pushes up gas fees, which are paid in small amounts of ether (ETH) to compensate validators. In busy periods, those fees can make Ethereum expensive and slow.
Basically, the issue is architectural: every node processes a full copy of every transaction to preserve trust between strangers without a central authority. That’s good for security, but it doesn’t scale perfectly.
Layer 2 networks
One of the most effective solutions developed so far is Layer 2 (L2) scaling. These are separate but connected networks that handle most transaction processing off the main chain. They periodically post summaries or proofs back to the mainnet (the primary network where transactions are recorded), so that the underlying security guarantees still apply.
Layer 2 networks can process many more transactions per second than Ethereum’s main chain while lowering the fees users must pay. Some L2s now routinely do thousands of TPS and settle data back on Ethereum’s base layer. That’s why so much activity has migrated to systems like Arbitrum, Optimism and zkSync.
For context on how this works: a popular strategy uses rollups. Rollups bundle many transactions into a single batch and either use a validity proof (in the case of zk‑Rollups) or allow others to challenge a batch before settlement (in so‑called optimistic rollups). These techniques spread the work out and avoid overloading the base layer.
The chief strategy officer of Offchain Labs, AJ Warner told CoinDesk that Ethereum was “never going to be a monolithic blockchain” that handled all activity. Rather, it’s meant to handle security and allow rollups to “execute faster, cheaper and more diverse applications”.
What is Sei Network?
Some in the Ethereum community have asked “What is Sei Network?”. Sei represents an alternative scaling approach. It’s a purpose‑built blockchain designed for high‑speed execution, especially in trading and markets. Sei is designed to handle many more transactions at once than Ethereum’s main network, using methods that let multiple actions happen at the same time and make trading faster and more efficient. While not a part of Ethereum’s core protocol, networks like Sei show how specialized chains can complement Ethereum’s security.
Ethereum itself doesn’t have to solve every bottleneck; the ecosystem can incorporate high‑speed parallel networks that handle specific workloads and settle final states back to Ethereum.
Base layer upgrades
To support L2s and handle more load at the core, Ethereum has introduced notable upgrades. Proto‑danksharding (sometimes referenced as EIP‑4844 or simply blobs) is one example. It adds a new transaction type that stores large chunks of data that rollups can use to communicate more efficiently with the base layer. This helps rollups scale by reducing the cost and latency of posting data to Ethereum.
Full danksharding and data availability sampling (DAS) are slated to bring massive gains (the official Ethereum roadmap says danksharding will “make millions of transactions per second a reality”). By splitting data into shards (parallel lanes of blockchain data) and allowing nodes to sample rather than download every byte, the network can serve more data throughput with less burden on individual validators.
Some recent measurements show aggregate activity across rollups and enhancements pushing effective throughput to the hundreds of TPS range, and new software upgrades promise a tenfold improvement on the base layer by mid‑2026.
Rethinking scaling
Despite progress, some people are urging a shift in perspective. Vitalik Buterin, Ethereum’s co-founder, noted that the original vision for Layer 2 networks “no longer makes sense” in its old form and that L1’s own scaling must play a more integrated role. He argued for hybrid models that blend fast sequencing with deeper connection to the base layer, rather than treating L2s as simple cost‑reducers.
Summing up
Is the Ethereum ecosystem too slow? By strict raw throughput, you could simply say, “Yes”, as L1 alone is much slower than mainstream payment systems. But Ethereum’s design is a trade‑off: it prioritizes decentralization and security over speed. The true measure of speed in blockchain today includes how well an ecosystem can scale using both base layer and off‑chain solutions.
