Solana Blockchain

by Solana Labs

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Sakura Bloom

by Sakura Bloom

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Zilliqa

by Zilliqa

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Solana Blockchain

by Solana Labs

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Sakura Bloom

by Sakura Bloom

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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.Sakura Bloom allows merchants to create blockchain-based customer rewards programs that are more flexible and transparent.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.

Sakura Bloom is a Japanese company that is developing a blockchain-based rewards network. It will allow businesses to create customer loyalty programs that are cross-site and cross-platform compatible. Consumers are not restricted to using their rewards with just one merchant, and can redeem them in different ways. The network is powered by the SKB token.

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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