The future of databases
Graphen's Home-grown Graph Computing Infrastructure written by C++ makes large-scale contextual artificial intelligence possible
The primary purpose of the memory part of the human brain is to provide stored information and guide action. The process of memory formation includes the initial selection and retention of the information, as well as the recollection of it.
When the human brain creates a memory, information is not stored isolated as individual pieces. Instead, the human brain makes connections between different objects and events and remembers these complex relationships. Therefore, to achieve the memory function of the human brain, it is essential to take into consideration the relationships between different objects and events. That’s where Graph Database shows its superiority.
When it comes to complex real-life problems, it is fundamental to gather, store and process information in a connected way. Traditionally, when we process data, it has always been the two-dimensional method, making it impossible for computers and machines to solve any real-life problem beyond simple calculation and automation. Ardi’s Database goes beyond that.
SQL requires extensive joint operations to compute neighborhoods of a vertex. Often the number of joints required is proportional with the distance from the source vertex as required by a specific algorithm. Here’s why Graph Database is more superior to relational database.
Relational Database: Finding a neighbor requires joint operations which may become untractable depending on the size of the database.
Graph Database: Finding a neighbor is logarithmic in the size of the database, thus tractable for any depth required.
Ardi Platform supports both proprietary native Graph Database (by C++) and open-source relational database
Deployed in several largest enterprises in the world, Ardi’s Graph Database System has the following advantages:
Eric is a market analyst working at an art auction house. He uses the Database function of Ardi platform to store relevant information about the artwork, including the number, author, auction price, auction time, etc. Ardi’s Database allows him to manage and store data with provided query commands.
Like the brain, Graph Database includes:
Communications between layers are achieved via standardized APIs.
With the help of Ardi, Eric can organize the artwork information more logically. He can easily inquire about the artistic characteristics of a certain author, the changing trend of the price of a certain piece of artwork and the changes in people's preference. Therefore he’s able to make more informed judgment on the market.