A family of scaling designs that divide data or execution work across subsets of a network; the exact meaning depends on the protocol.
Supports: Documents Proto-Danksharding blobs, the later full-Danksharding roadmap, data-availability sampling, and that shard chains are no longer part of Ethereum's roadmap.
Supports: Explains why data availability matters for verification, and distinguishes full-node verification from rollup and light-client constraints.
Sharding can refer to different ways of partitioning execution, state, data, or validator work
Ethereum's current sharding roadmap uses temporary data blobs for rollups, not execution shard chains
Full Danksharding remains a later roadmap stage; it is not a current TPS guarantee
Check data availability, validation, settlement, retention, and live-versus-proposed scope for each protocol
A rollup posts transaction data in an EIP-4844 blob rather than treating Ethereum as 64 execution chains. A user checking the system should distinguish the rollup's execution and security model from Ethereum's temporary blob-data availability, and should not infer a fixed fee or throughput outcome from the word sharding.
Assurance that data needed for a specified verification process was published and can be accessed under that system's rules. It is distinct from permanent historical retrievability.
A blockchain's own consensus and settlement layer. The label describes where that protocol processes and orders transactions; security, finality, data availability, and scaling guarantees differ by chain and design.
A protocol layer that executes transactions outside an L1 while using that L1 for some combination of data availability, proofs, dispute resolution, or settlement. Fees, finality, bridges, and withdrawal paths depend on the specific L2 design.
Software connected to a blockchain network that can relay data and, depending on its operating mode, validate blocks and transactions under that network's rules. Node capabilities, data retained, privacy, and trust assumptions vary by implementation.
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