chronosdb

Scalable datastore for metrics, events, and real-time analytics

Requirements

horizontal scalable
http interface
udp interface (low priority)
persistent
metadata for time series
perform functions quickly (count, unique, sum, etc.)
group by time intervals (e.g. count ticks every 5 minutes)
joining multiple time series to generate new timeseries
dynamic schema
filter/query language (sql subset) with where clauses
support multiple databases with read/write api key
single time series should scale horizontally (no hot spots)
dynamic cluster changes and data balancing
pubsub layer
continuous queries (keep connection open and return new points as they arrive)
Delete ranges of points from any number of timeseries (that should reflect in disk space usage)
querying should support one or more timeseries (possibly with regex to match on)