Analytics portal

Artie can send the same metrics to Datadog, or to New Relic, Amazon CloudWatch, Grafana, or any OTLP endpoint through the OpenTelemetry integration, where you can build your own dashboards and monitors.

Once you have a running pipeline, you will be able to see metrics in the Analytics Portal. To alert on a configured condition, create a custom monitor.

Available filters

For each of these metrics, you also have the ability to set a filter:

Pipeline (All or a specific pipeline)
Specific tables (This is available if you specify the pipeline)
Whether to include or exclude backfills
Mode (Replication or history)

Metrics

The following metrics are available in the Analytics Portal:

Rows synced over time
Type of operation (create, update, delete, backfill)
Table distribution
Ingestion lag based on time
Ingestion lag based on number of rows
For Postgres, we’ll also graph your replication slot size
For Snowflake, we’ll monitor your virtual warehouse’s queued and execution time

Analytics portal showing rows synced over time, type of operation, table distribution, ingestion lag based on time, ingestion lag based on number of rows, and replication slot size for Postgres and queued and execution time for Snowflake

Query metrics with the API

The same metrics are available from GET /analytics with an API key. Pass a time window, the datasets you want, and optionally a pipeline:

curl -sg -H "Authorization: Bearer $ARTIE_API_KEY" \
  "https://api.artie.com/analytics?pipelineUUID=5fc762a9-d1ea-4dde-a986-fc46c26a2dd3&from=2026-10-30T22:00:00Z&to=2026-10-30T23:00:00Z&datasets[]=readerLag&datasets[]=ingestionLag"

{
  "datasets": {
    "readerLag": {
      "unit": "ms",
      "err": null,
      "data": [{ "dimensions": {}, "points": [{ "time": 1793401200000, "value": 120 }] }]
    },
    "ingestionLag": {
      "unit": "ms",
      "err": null,
      "data": [{ "dimensions": {}, "points": [{ "time": 1793401200000, "value": 610.34 }] }]
    }
  }
}

Each point’s time is a Unix timestamp in milliseconds, and value is in the dataset’s unit. Check err on every dataset: one dataset can fail while the others succeed.

Dataset	Analytics Portal chart
`rowsSyncedByTime`, `rowsSyncedByOperation`, `rowsSyncedByDB`	Rows synced, type of operation, table distribution
`ingestionLag`	Time from Artie receiving a change to writing it to your destination
`readerLag`	How far behind Artie is reading your source
`rowLag`	Ingestion lag based on number of rows
`flushTime`, `flushCount`	Destination flush duration and count
`replicationSlotSize`	Postgres replication slot size
`snowflakeExecutionTimeAvg`, `snowflakeExecutionTimeMax`, `snowflakeQueuedOverloadTimeAvg`, `snowflakeQueuedOverloadTimeMax`	Snowflake warehouse execution and queued time
`bigQueryUsage`	BigQuery bytes processed

Dataset names are case-sensitive, and unknown names are ignored. Total lag (source to destination) is readerLag plus ingestionLag at each timestamp. Ingestion lag is only reported when Artie flushes, so treat a missing point as 0, which is how the Analytics Portal draws its total lag chart. API keys scoped to one environment must pass pipelineUUID. Requests without it return 400, and a pipeline from another environment returns 404.

Getting Started

Pipelines

Connectors

Monitoring

Artie Dashboard

Analytics portal

Available filters

Metrics

Query metrics with the API

​Available filters

​Metrics

​Query metrics with the API

Available filters

Metrics

Query metrics with the API