SenseiDB is a distributed database that supports the backend of LinkedIn homepage and LinkedIn Signal. The data is protected by replication and eventual consistency is guaranteed. Driven by a large number of search tasks, SenseiDB is also a efficient search engine on structured metadata and unstructured contents.
SenseiDB was initially developed and employed by LinkedIn team in 2012. It was then contributed by a number of engineers across different companies and continents. After three releases, SenseiDB has no longer updated since year 2013.
Joins are not supported in SenseiDB since it is not a strictly relational database.
The users are responsible for guaranteeing data isolation.
SenseiDB partitions its data within the system to improve processing speed, but it only accepts a single data stream at a time.
SenseiDB applies an indexing manager called Zoie, which is a real-time search and indexing system. The biggest feature of Zoie is the support for real-time updates while preserving the high-efficiency.
A SenseiDB instance is a table of data that is organized into columns. Each column may fall into one of the supported types: string, int, long, short, float, double, char, date, text.