Methods and systems for resilient, durable, scalable, and consistent distributed timeline data store

A database management system for managing data in accordance with a temporal data model, the database management system comprising:

• a timeline store configured to store one or more key references, wherein each key reference of the one or more key references is mapped to at least one pair of a time reference and a data reference, and wherein the time reference determines a point in time at which the key reference is assigned the pair of the time reference and the data reference, and wherein the key reference is a time specific pointer identifying a particular data reference at a particular time, and the timeline store is modelled as a plurality of data triplets, each data triplet including one key reference, one time reference, and one data reference;
• a data store configured to store one or more data references, wherein each data reference is mapped to a data value;
• a query processor configured to:
• query the data model to retrieve a set of key references mapped to data references based on a specific range of time;
• and
• query the data model to retrieve a set of data references based on a specific range or ranges of time;
• and
• a data update module configured to map the key reference in the timeline store to a new pair of a time reference and a data reference when the key reference is updated,
• wherein updates to the key reference are managed using a distributed and fault-tolerant agreement algorithm implemented using a distributed set of RAFT or PAXOS groups, wherein each of the RAFT or PAXOS groups runs on one or more nodes.