TrueChain vs Ternio vs Chromia
What problem does this service solve?
TrueChain wants to improve blockchain performance with a hybrid consensus model. | Ternio aims to build a single blockchain frame-work that will be capable of meeting the needs of multiple industries. | Chromia's relational blockchain structure will allow developers to create DApps with data that can be better indexed and queried, and more easily manipulated. |
Token Stats
Company Description
TrueChain is developing a secure and scalable blockchain platform with a strong developer community. TrueChain hopes to improve upon current platforms with a hybrid consensus protocol called Minerva. This hybrid model will combine a consensus mechanism based on Practical Byzantine Fault Tolerance (pBFT) with a FruitChain-based Proof-of-Work protocol. Fruitchain is designed to minimize the incentives of mining pools by decreasing the variance of mining rewards; making the network more decentralized. | Ternio is developing a scalable blockchain framework called Lexicon. It was originally a fork of Hyperledger Fabric, and is designed to handle the high transactions rates that enterprise business clients need. Ternio's framework uses its Lexicon Blockchain as a data protocol, and the Stellar Blockchain as a payment protocol. Ternio will have a Byzantine Fault Tolerance (BFT) consensus mechanism. Ternio's marketing materials mention the benefits that their high performance, Lexicon blockchain can have in programmatic digital advertising, as well as a variety of other industries. Ternio also created the BlockCard; a crypto debit card that enables users to spend their cryptocurrency. Their network is currently powered by the Stellar-based TERN token. | Chromia is a relational blockchain platform that is designed to be both a blockchain and a relational database. Chromia was created by a Swedish development company called ChromaWay, with the intention of combining the advantages of a blockchain's transparency with the benefits of a relational database system, such as data independence and reduced redundancy. |