{
  "id": "stack-part:time-series-database",
  "_kind": "StackPart",
  "_file": "domain/stack-parts/time-series-database.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Time-Series Database",
    "category": "data-store",
    "description": "Database purpose-built for storing and querying time-stamped, append-heavy\ndata streams such as metrics, sensor readings, events, and financial tick\ndata. TSDBs exploit temporal locality and columnar compression to store\nhigh-cardinality time series efficiently.\n\nPrometheus stores metrics scraped from service endpoints and is the\nstandard Kubernetes monitoring TSDB. InfluxDB (with Flux/InfluxQL) and\nTimescaleDB (a PostgreSQL extension) target higher ingest rates and\nlonger retention. VictoriaMetrics is a high-performance Prometheus-\ncompatible alternative. Key concerns include retention policies,\ndownsampling, cardinality management, and PromQL/Flux query optimization.\n",
    "commonImplementations": [
      "tool:prometheus"
    ]
  },
  "outgoingEdges": [
    {
      "from": "stack-part:time-series-database",
      "to": "tool:prometheus",
      "kind": "implemented_by"
    }
  ],
  "incomingEdges": [
    {
      "from": "tool-server:mcp-prometheus",
      "to": "stack-part:time-series-database",
      "kind": "integrates_with",
      "attributes": {}
    }
  ]
}