SenseiDB was initially developed and employed by LinkedIn team in 2009. Engineers from both LinkedIn and Xiaomi were working on the project. It then became an open-source project that was contributed by many individuals. After three releases, SenseiDB has no longer updated or used since year 2013.
SenseiDB applies an indexing manager called Zoie, which is an independent searching and indexing engine built on Apache Lucene that uses inverted index to efficiently retrieve data. The biggest feature of Zoie is the support for real-time searches and updates.
N-ary Storage Model (Row/Record)
A SenseiDB instance is a table of data that is organized into columns. The attributes of a table is stored as metadata, and each column may belong to one of the supported types: string, int, long, short, float, double, char, date, text.
The entire database is partitioned into a number of shards. Each shard is replicated across N nodes so that there might be more than one shards in a single node. There is not a master node in the system and each node is independent. Upcoming requests go through a separate load balancer to decide the nodes to request.
http://senseidb.github.io/sensei/
https://github.com/linkedin/sensei
http://senseidb.github.io/sensei/overview.html
LinkedIn, Xiaomi
2012
2013