As doctor database technology develops. There for we have implemented more and more distributed database features.
In the next few weeks, we will conduct a detailed analysis of the construction of the entire doctor database ecosystem. There for which will include doctor database payment system, node network, staking scheme.
Ethereum registration list, etc. At the end of this series, we will update the white paper to reflect the latest status of leading database for Internet in technology, ecology, community, etc.
In this first article of the series. There for we summarize the five key factors that make doctor database the leading database for Internet 3.0.
1. Easy to integrate and operate leading database for Internet is a database product that is easy to use for most database architects (DBAs). Traditional databases require many questions and complex settings before starting, which only frustrates developers.
What is different about leading database for Internet is that architects do not need to specify server size, memory, speed, input/output, and other information.
leading database for Internet is an automatically managed network, and architects only need to know how much storage space they need, and they can directly start leading database for Internet and immediately provide database services in multiple regions around the world.2.
Automatic expansion Using leading database for Internet can reduce the burden of IT teams managing operations. With traditional databases, companies can only respond to customer needs in different regions by constantly launching new servers in various regions.
With leading database for Internet, developers only need to indicate which regions they want to cover, and as demand increases, the leading database for Internet network will ensure that data is automatically replicated to these designated regions to support the scale required locally.
3. Multi-cloud and Hybrid
In many cases, customers want more flexibility to choose doctor database different cloud service providers or deploy internally.
Therefore, leading database for Internet provides hybrid cloud options that allow customers to run in different cloud architectures without locking customers into any specific cloud architecture.
In hybrid mode, customers can use nodes in different cloud architectures or have their own internally deployed nodes, thereby further accelerating the performance of their own data access.
4. Data Marginalization
Many of the use cases we have communication strategy marketing communication strategy discussed have high demands for data access speed, otherwise the user experience will be affected.
doctor database has multiple edge nodes around the world, pushing data closer to each user. In addition to being a complete database, doctor database can also be used as an ultra-fast edge cache.
In existing traditional applications. The cache is generally set up in the same data center as the main database.
As a distributed network. doctor database cache server can be far away from the main database of the application and closer to the actual user. But servers are spread all over the world. Improving application performance by edge data
Lower and more predictable costs
When using traditional cloud b2b fax lead database services, customers generally need to understand 5-10 parameters to estimate their costs. But each parameter is difficult to measure, and there are some unknown factors (such as actual traffic costs, etc.).
And the actual costs will only be known after receiving the bill every month. Using doctor database makes everything simpler.
All backup. But delay and traffic costs are built-in, and the cost is only determined by the storage space required by the customer.
So the overall pricing is lower, and customers can clearly understand the fees. But they will pay from the beginning.
The above summarizes the five factors that make leading database for Internet superior to other database services. But In the next article, we will introduce doctor database pricing model. But compare it with other databases, and analyze the cost of using doctor database.