Compare Concordium vs Algorand
Concordium vs Algorand Scalability
Real-time TPS (1H)
Concordium TPS is 98.76% lower than Algorand TPS
Data from Chainspect
Max TPS (100 blocks)
Concordium max TPS is 98.86% lower than Algorand max TPS
Data from Chainspect
Max Theoretical TPS
Concordium max theoretical TPS is 78.68% lower than Algorand max theoretical TPS
Data from Chainspect
Transaction Volume (1H)
Concordium transaction volume is 98.76% lower than Algorand transaction volume
Data from Chainspect
Block Time (1H)
Concordium block time is 28.62% shorter than Algorand block time
Data from Chainspect
Finality
Concordium finality is 100% longer than Algorand finality
Data from Chainspect
Type
Concordium and Algorand are both layer 1 blockchains
Data from Chainspect
Total Transactions
Concordium has 94.73% fewer total transactions than Algorand
Data from Chainspect
Launch Date
Concordium was launched 2 years after Algorand
Data from Chainspect
Concordium vs Algorand Decentralization
Nakamoto Coefficient
Concordium Nakamoto Coefficient is 41.66% lower than Algorand Nakamoto Coefficient
Data from Chainspect
Validators
Concordium has 95.55% fewer validators than Algorand
Data from Chainspect
Stake
Concordium stake is 19.92% lower than Algorand stake
Data from Chainspect
Consensus Mechanism
Concordium is PoS, while Algorand is Pure Proof of Stake
Data from Chainspect
Governance
Concordium council governance is worse than Algorand on-chain governance
Data from Chainspect
Concordium vs Algorand Developer Activity
Developers
Concordium has 64.74% fewer developers than Algorand
Data from Chainspect
Repos
Concordium has 60.24% fewer repos than Algorand
Data from Chainspect
Commits
Concordium has 1.64X more commits than Algorand
Data from Chainspect
Stars
Concordium has 79.37% fewer stars than Algorand
Data from Chainspect
Watchers
Concordium has 72.01% fewer watchers than Algorand
Data from Chainspect
Concordium vs Algorand Financials New
Chain Revenue
Concordium chain revenue is 19.29% lower than Algorand chain revenue
Data from Chainspect
Average Transaction Fee
Concordium average transaction fee is 91X higher than Algorand average transaction fee
Data from Chainspect
Price
Concordium price is 81.93% lower than Algorand price
Data from Chainspect
Market Cap
Concordium market cap is 75.89% lower than Algorand market cap
Data from Chainspect
Concordium vs Algorand Real-Time TPS Chart
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Other Comparisons
Concordium Comparisons
About Blockchains
About Concordium
Concordium is a public Layer 1 blockchain platform designed for security, privacy, and scalability. Concordium was among the first to mandate identity verification at the blockchain consensus level while integrating zero-knowledge proofs (ZKPs) for selective disclosure. Launched on Mainnet in 2021, it embeds encrypted identity into every transaction at the protocol level, enabling accountability while preserving user confidentiality.
Its native cryptocurrency, CCD, powers the ecosystem, facilitating transaction fees, staking, voting, node operator rewards, and serving as collateral in Concordium's DeFi landscape.
The newly appointed CEO and Executive Management team have revealed a focused strategic direction to double down on PayFi, enabling stablecoin issuers, financial institutions, and payment providers to accelerate real-world adoption. With stablecoin settlement volumes projected to reach $300 billion per day by 2025, Concordium delivers an enterprise-ready blockchain infrastructure uniquely suited for secure, programmable money solutions, as well as compliance as required by new regulatory frameworks.
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.