1.Potential demand for decentralized databases.
There are two fundamental ways for Web2 applications to store data - the file system and the database. Due to the lack of database products in Web3, most dApps still use centralized databases to store structured data, except for storing a small amount of important data in expensive smart contracts.
As decentralized file systems like #IPFS are gradually being used to store NFT data in Web3 applications, decentralized file systems have been recognized and accepted by Web3, and decentralized database technology has undergone a round of iteration, resulting in the emergence of various new products.
Decentralized databases have unique advantages over traditional centralized databases. They can reduce the risk of single-point failure in Web3 projects and make dApps completely decentralized.
2.The possibilities for implementation.
Technically speaking, both SQL and NoSQL can be used as databases. SQL is more mature and efficient, while NoSQL offers more richness and flexibility. SQL's data structure requires high consistency, and it has stronger ability to perform join queries, making it more mature and efficient.
On the other hand, NoSQL's key-value structure is more in line with Ethereum's design pattern and can support a variety of data types, making it flexible and easy to scale. #ETH
Combining the application requirements of Web3 with the technical protocols of the encryption industry is a key factor in improving data storage and retrieval speed, incentive models and token economics, and guarantee algorithms for ensuring data availability, which determines whether a protocol will be widely used.
Good incentive models and token models can not only encourage node participation but also stimulate nodes to do the right thing, such as providing effective retrieval functions rather than just storing data to obtain storage rewards.
The data availability guarantee algorithm checks the node's storage of data at regular intervals and requires the node to provide proof of data availability, which is complementary to node incentives to prevent data loss.
The efficiency of data retrieval affects user experience, which is critical to the convenience and smoothness of using dApps.
In summary, the combination of Web3 application requirements and encryption industry technical protocols is crucial for improving data storage and retrieval speed, incentive and token models, and guarantee algorithms for ensuring data availability.
Good incentive and token models can encourage nodes to provide effective retrieval functions rather than just storing data to obtain rewards.
The data availability guarantee algorithm checks the node's storage of data at regular intervals and requires the node to provide proof of data availability, which is complementary to node incentives to prevent data loss.
Efficient data retrieval is critical to user experience and the convenience of using dApps. #GOATMoments