SonicDB indeed enhances data retrieval efficiency and speed, supporting our goal of a seamless user experience.
🚨SonicDB a revolution in blockchain state access? 💡Zero read amplification ⚡️6x faster than Geth 💼Direct binary store But how does it actually work? 👇👇👇 Read amplifications have always been the bottleneck to efficiency. ➡️Read amplification problem - the bottleneck ➡️How SonicDB works ➡️Difference from Geth ➡️Performance Sonic is setting new standards to blockchain data performance. Read Amplification Problem: (normal Blockchain) ➡️The hidden bottleneck in every blockchain database Normal blockhain databases (LevelDB/RocksDB) layer a Merkle-Patricia Trie (MPT) on top of the merkle tree based key-value stores. ➡️This creates a read amplification problem, the MPT requires multi logarithmic lookups, which results in a bad access time. ➡️For terabytes of data, this slows down lookups in data structure How SonicDB works: ➡️SonicDB stores accounts, balances, nonces and all the smart contract data in binary files, bypassing the key-value storage. ➡️Indexing binary data directly to constant time MPT node acess, this reduces complexity ➡️Dual structure 1) In memory MPT (blue) for fast hash computation 2) On disk binary files (green) for direct node indexing Nodes stay fixed, space is pooled for reuse and new nodes append to file ends, avoiding costly reorganisation. Difference from Geth: ➡️LevelDB is very limited in read amplification (bottleneck) ➡️SonicDB eliminates key-value store overhead by building MPT on binary files, which results in constant time node access. ➡️SonicDB avoids unnecessary range query support, optimized for blockchain specific needs Performance: ➡️SonicDB processed 11M Sonic mainnet blocks at 1,300 MGas/s ➡️6.2x fast than Geth ➡️As SonicDB grows, its efficient system will shines, which results in higher throughput. Sonic made a blockchain specific upgrade, which boost performance and leaves more room for storage optimization. @DrSonicScholz is innovating blockchain DB's.
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