To understand the difference between a blockchain and a traditional database, it is worth considering how each of these is designed and maintained.
Distributed nodes on a blockchain.
Traditional Databases
Traditional databases use client-server network architecture. Here, a user (known as a client) can modify data, which is stored on a centralized server. Control of the database remains with a designated authority, which authenticates a client’s credentials before providing access to the database. Since this authority is responsible for administration of the database, if the security of the authority is compromised, the data can be altered, or even deleted.
Traditional Databases.
Blockchain Databases
Blockchain databases consist of several decentralized nodes. Each node participates in administration: all nodes verify new additions to the blockchain, and are capable of entering new data into the database. For an addition to be made to the blockchain, the majority of nodes must reach consensus. This consensus mechanism guarantees the security of the network, making it difficult to tamper with.
In Bitcoin, consensus is reached by mining (solving complex hashing puzzles), while Ethereum seeks to use proof of stake as its consensus mechanism. To learn more about the difference between these two consensus mechanisms, read my earlier post.
Integrity and Transparency
A key property of blockchain technology, which distinguishes it from traditional database technology, is public verifiability, which is enabled by integrity and transparency.
Integrity: every user can be sure that the data they are retrieving is uncorrupted and unaltered since the moment it was recorded
Transparency: every user can verify how the blockchain has been appended over time
A map of Dashcoin masternodes distributed across the world.
CRUD vs Read & Write Operations
In a traditional database, a client can perform four functions on data: Create, Read, Update, and Delete (collectively known as the CRUD commands).
The blockchain is designed to be an append only structure. A user can only add more data, in the form of additional blocks. All previous data is permanently stored and cannot be altered. Therefore, the only operations associated with blockchains are:
Read Operations: these query and retrieve data from the blockchain
Write Operations: these add more data onto the blockchain
Validating and Writing
The blockchain allows for two functions: validation of a transaction, and writing of a new transaction. A transaction is an operation that changes the state of data that lives on the blockchain. While past entries on the blockchain must always remain the same, a new entry can change the state of the data in the past entries. For example, if the blockchain has recorded that my Bitcoin wallet has 1 million BTC, that figure is permanently stored in the blockchain. When I spend 200,000 BTC, that transaction is recorded onto the blockchain, bringing my balance to 800,000 BTC. However, since the blockchain can only be appended, my pre-transaction balance of 1 million BTC also remains on the blockchain permanently, for those who care to look. This is why the blockchain is often referred to as an immutable and distributed ledger.
Centralized vs. peer to peer.
In short, the difference is Decentralized Control
Decentralized control eliminates the risks of centralized control. Anybody with sufficient access to a centralized database can destroy or corrupt the data within it. Users are therefore reliant on the security infrastructure of the database administrator.
Blockchain technology uses decentralized data storage to sidestep this issue, thereby building security into its very structure.
Though blockchain technology is well-suited to record certain kinds of information, traditional databases are better suited for other kinds of information. It is crucial for every organization to understand what it wants from a database, and gauge this against the strengths and vulnerabilities of each kind of database, before selecting one.
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Author:
Shaan Ray
LinkedIn| Twitter | Ray Advisors
Helping companies with blockchain education, strategy and integration. Blockchain product development advisor. Certified Ethereum Developer. Building and training enterprise sales teams. Over a decade of global consulting experience across multiple sectors. Technology entrepreneur, founded and sold two companies. MBA 2011.
Helping companies with blockchain education, strategy and integration. Blockchain product development advisor. Certified Ethereum Developer. Building and training enterprise sales teams. Over a decade of global consulting experience across multiple sectors. Technology entrepreneur, founded and sold two companies. MBA 2011.
Source:
https://towardsdatascience.com/blockchains-versus-traditional-databases-e496d8584dc