Solana Blockchain

by Solana Labs

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HYCON

by HYCON, Glosfer Co., Ltd.

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Zilliqa

by Zilliqa

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Solana Blockchain

by Solana Labs

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HYCON

by HYCON, Glosfer Co., Ltd.

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Zilliqa

by Zilliqa

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What problem does this service solve?

Solana allows developers to create DApps with faster performance by separating the consensus process from the recording of transactions.HYCON's DAG/SPECTRE consensus is designed to improve blockchain performance by enabling more than one block to be added to the main chain.Zilliqa is building a scalable development platform based on sharding.

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Company Description

The Solana blockchain uses an innovative Proof of History mechanism to confirm transactions that are recorded on the network. Solana is designed to separate the consensus process from the flow of transactions. This is done with a recursive, verifiable delay function that hashes incoming transactions, and recording information as a function of time. Every node on the Solana blockchain is assigned a cryptographic clock that enables the network to determine the time and ordering of transactions, without having to wait for consensus from other nodes. By separating the process of transaction verification from their recording, a higher throughput is achieved without sacrificing network security.

HYCON is a blockchain platform powered by the Hyperconnected Coin. The decentralized platform has a Directed Acyclic Graph (DAG) architecture, and is focused on improving scalability and throughput. HYCON's SPECTRE consensus algorithm is designed to enable horizontal scalability, where several blocks can be added at the same time.

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Zilliqa is an innovative blockchain platform that is designed to be more scalable as the network grows. Zilliqa's platform is based on the concept of sharding; which involves breaking a large network of computers into smaller decentralized networks.
Zilliqa's goal is to increase transaction rates as its network expands. The platform is tailored towards enabling secure data-driven decentralized apps that are designed to meet the scaling requirements of machine learning and financial algorithms.

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