Cloud alternative

A simpler alternative to Google Timeseries Insights API.

Google Timeseries Insights is built for large event datasets and cloud-scale query workloads. Go Insights is for teams that want to send a metric, tune sensitivity, and get a detector response back.

Try the API demo See all alternatives
detector.response 
{
  "period": 7,
  "expectedValues": [812, 798, 805, 834],
  "upperMargins": [38, 36, 37, 41],
  "isAnomaly": [false, false, false, true],
  "competitor": "Google Timeseries Insights",
  "replacement": "Go Insights"
}
Google focus Event-scale anomaly and trend detection
Best fit GCP teams with large event datasets
Go Insights angle Plain JSON in, detector JSON out
Short answer

Choose based on the job, not the logo.

Use Google when Timeseries Insights is part of a larger GCP event pipeline. Use Go Insights when the buyer is asking for anomaly detection as a product feature or workflow API.

Comparison

Go Insights vs Google Cloud Timeseries Insights API

Question Google Cloud Timeseries Insights API Go Insights
Core use case Analyze large event datasets across dimensions. Detect anomalies in product, ops, revenue, and marketing time series.
Setup Designed around Google Cloud data and query workflows. Hosted endpoint with demo datasets, sensitivity controls, and fixed response fields.
Output Query-oriented insights for event streams and dimensions. Expected values, margins, period, anomaly flags, and root-cause slices where applicable.
Pricing posture Cloud-service pricing depends on Google Cloud usage shape. Free test tier, paid plans from $25/month, overage from $0.20/1K.

Use Google Timeseries Insights if...

  • Your anomaly problem is really a large event analytics problem.
  • Your team already wants to query Timeseries Insights inside GCP.

Use Go Insights if...

  • You need anomaly detection behind a product feature, alert, or internal workflow.
  • You want a response shape that is easy to chart and easy to explain.
  • You want pricing a non-cloud-specialist can understand before implementation.
Migration path

Test with the payload shape first.

Use the live tester before committing engineering time. The demo uses the same kind of request and response fields your app would consume in production.

  1. Pick one metric currently modeled as an event stream and aggregate it into a time series.
  2. Run the series through the Go Insights demo using different sensitivity levels.
  3. Use the response fields directly in your graph, alerting, or QA workflow.
Pricing

Lower commitment before usage proves itself.

Go Insights starts free, then paid plans begin at $25/month with transparent overage. The larger plans include more detections and reduce the overage rate to $0.12 per 1,000 detections.

Bring your own time-series.

Run one real metric through the tester, inspect the JSON, and decide whether the API fits the replacement job.

Get your free API key Open the tester

Sources

Comparison claims use public vendor documentation and public pricing pages. Links open in a new tab.