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)