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- Polkadex vs Algorand
Polkadex vs Algorand Scalability
Real-time TPS
Polkadex TPS is 99.98% lower than Algorand TPS
Max TPS (100 blocks)
Polkadex max TPS is 99.98% lower than Algorand max TPS
Max Theoretical TPS
Polkadex max theoretical TPS is 84.01% lower than Algorand max theoretical TPS
Transaction Volume
Polkadex transaction volume is 99.98% lower than Algorand transaction volume
Block Time
Polkadex block time is 4.31X longer than Algorand block time
Finality
Polkadex finality is 100% longer than Algorand finality
Type
Polkadex and Algorand are both layer 1 blockchains
Launch Date
Polkadex was launched 2 years after Algorand
Polkadex vs Algorand Decentralization New
Nakamoto Coefficient
Polkadex has no data, while Algorand Nakamoto Coefficient is 12
Validators
Polkadex has no data, while Algorand has 1,903 validators
Stake
Polkadex has no data, while Algorand stake is $481.1M
Consensus Mechanism
Polkadex is PoS, while Algorand is Pure Proof of Stake
Governance
Polkadex and Algorand governance are both on-chain
Polkadex vs Algorand Real-Time TPS Chart
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Other Comparisons
Polkadex Comparisons
About Blockchains
About Polkadex
Polkadex is a decentralized exchange (DEX) built on the Polkadot network. It offers high-performance, low-latency trading with a fully decentralized order book. Users can trade assets across different parachains within the Polkadot ecosystem and external blockchains connected via bridges. Polkadex uses L2 scaling solutions for fast, efficient trading and operates on a non-custodial model, allowing users to retain control of their funds at all times.
About Algorand
Algorand emerges as a blockchain platform committed to fostering transparency and enabling the growth of decentralized projects and applications. Operating as a public, decentralized blockchain, it leverages a Pure Proof-of-Stake (PPoS) consensus mechanism to uphold network security, efficiency, and decentralization. Powered by the Algorand Consensus Algorithm, the network employs a combination of cryptographic techniques and random selection to attain consensus, effectively addressing the constraints of traditional consensus mechanisms.