Paper: ModelarDB

Problem: how to store and querry massive amounts of high quality sensor data ingested in real-time from many sensors. 

Properties paramount for a TSMS: distribution; stream processing; compression; efficient retrieval; approximate query processing; extensibility;  

Niche: we found no TSMS using multi-model compression for our survey; Also, the existing methods do not provide all the properties listed above. They either provide no latency guarantees [22, 40], require a trade-off between latency and compression [37], or limit the supported model types [22, 40]. ModelarDB, in contrast, provides all these features.

Architecture:  3 sets of components

data ingestion; 

query processing 

segment storage.