Running through your linkedin feed? Looking to add a new connection? Searching for your new prospect’s profile? About to post your thoughts?

🤔 Have you thought what happens next when you execute any of the above? Yes behind the scenes, there is a huge Giant masterful database system called LIquid – The LinkedIn’s in-house graph database.

🌐 #linkedin has built a digital representation of a global economy called the LinkedIn Economic Graph which is a combination of 950M members, 65M companies & 41K Skills etc. The way these huge amount of entities are connected forms the Knowledge Graph. These connections help us understand the relationships between each entity in a logical way.

📶 LIquid as a database automates the indexing and real-time access of all connections to other members, skills, companies, positions, jobs, events, groups, etc. This knowledge graph is massive, with 270 billion edges and growing. As more people join and make new connections, the number of edges increases. Currently, the system handles a workload of 2 million queries per second, and it is expected to double in the next 18 months.

❄ Graphs are a view of the world where the most important aspects are the relationships between entities. In a graph database, all the connections between the data are already built in, so you can easily explore and expand your understanding of the relationships between different pieces of information, making it easier to navigate complex networks.

Exciting to read through how such technology masterpieces are built iteratively.

P.S: Detailed information in the comments on how the whole LIquid database works.