Ternio vs ConsenSys vs Elrond
What problem does this service solve?
Ternio aims to build a single blockchain frame-work that will be capable of meeting the needs of multiple industries. | ConsenSys' goal is to create the infrastructure, applications, and practices that will enable greater adoption of blockchain. | Elrond will allow developers to create more scalable DApps with faster transaction times. |
Token Stats
Not Relevant |
Company Description
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. | ConsenSys is one of the most influential blockchain technology companies. They are working on a variety of projects to create the infrastructure and applications that will enable scalable adoption of blockchain-based systems. The company's efforts are focused on the Ethereum ecosystem, and include divisions working to advance technology development, establish industry standards, and provide consulting, marketing, and education services. | The Elrond blockchain platform is designed to be a public development infrastructure that will be more secure, efficient, and scalable than other blockchain platforms. The Elrond blockchain is aimed at DApp developers and enterprises. Elrond will have a Prof of Stake consensus mechanism, and will include an Adaptive State Sharding feature that will allow multiple validators to process transactions in parallel. |