web3glossarydag directed acyclic graph
DAG (Directed Acyclic Graph)

Summary

A Directed Acyclic Graph (DAG) is a data structure that consists of nodes and edges, where each edge is directed from one node to another, and no cycles exist in the graph. This structure is increasingly being used in blockchain and distributed ledger technologies to improve scalability and efficiency.

Detailed Description

In computing and graph theory, a Directed Acyclic Graph (DAG) is a finite directed graph with no directed cycles. This implies that there is no way to start at some node and follow a consistently-directed path that eventually loops back to that node. In the context of blockchain technology, DAGs are employed to enable faster transactions and higher throughput by allowing multiple branches of transactions to be recorded simultaneously without the restriction of a linear transaction chain, as seen in traditional blockchains. This structure can theoretically accommodate a vastly scalable number of transactions, making it a compelling alternative for decentralized systems.

Category
Blockchain Technology
Synonyms
Directed Acyclic Graph
DAG

Impact Details

3 impact insights hidden

Yirifi's stakeholder, regulatory-compliance, and risk-impact analysis for this term.

Cryptocurrency Transactions

DAGs enable fast and fee-less transactions in cryptocurrencies like IOTA and Nano.

Industries:

Finance
Technology

Platforms:

IOTA
Nano
Supply Chain Management

Utilizing DAGs to track products through the supply chain efficiently while ensuring transparency and tamper-resistance.

Industries:

Logistics
Manufacturing

Platforms:

Byteball
Cryptocurrency Transactions

DAGs enable fast and fee-less transactions in cryptocurrencies like IOTA and Nano.

Industries:

Finance
Technology

Platforms:

IOTA
Nano
Hedera
Supply Chain Management

Utilizing DAGs to track products through the supply chain efficiently while ensuring transparency and tamper-resistance.

Industries:

Logistics
Manufacturing

Platforms:

Byteball
Holochain
Data Provenance

DAGs can be employed to track and verify the origin of data in various systems, enabling auditability.

Industries:

Healthcare
Research

Platforms:

OriginTrail

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FAQs

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