Who each engine recommends
Position of every brand named in the latest run.
| Brand | ChatGPT | Perplexity | AI Mode | Mention rate |
|---|---|---|---|---|
| DatadogTop pick | #1 | #1 | #1 | |
| New Relic | #3 | #2 | #2 | |
| Grafana | #5 | #3 | #5 | |
| Dynatrace | #4 | — | #3 | |
| Elastic Observability | — | #5 | #4 | |
| Splunk | #2 | — | — | |
| Honeycomb | — | #4 | — | |
| Prometheus | #6 | — | — | |
| Uptrace | — | #6 | — | |
| Coralogix | — | #7 | — | |
| Loki | #7 | — | — | |
| OpenTelemetry | #8 | — | — |
Responses
What each engine answered, and how the shortlist moved.
An observability platform typically costs anywhere from $0 to $10,000+ per month, depending on the number of servers, applications, engineers, and the volume of logs, metrics, and traces being collected. For a business running production applications, a reasonable initial budgeting estimate is $500–$3,000 per month for a small-to-medium deployment. Larger enterprise environments can cost tens of thousands monthly. Observability platform pricing comparison Here are examples of publicly…
- Datadog — Sources: Official Datadog pricing, Splunk pricing, New Relic pricing and published 2026 pricing comparison.
- Splunk
- New Relic — Sources: Official Datadog pricing, Splunk pricing, New Relic pricing and published 2026 pricing comparison.
- Dynatrace — I can build a more realistic monthly cost comparison across Datadog, Dynatrace, New Relic, Splunk, and Grafana.
- Grafana — One important consideration: open-source solutions such as Grafana, Prometheus, Loki, and OpenTelemetry can significantly reduce licensing costs, although you still pay for infrastructure, storage, maintenance, and…
- Prometheus — One important consideration: open-source solutions such as Grafana, Prometheus, Loki, and OpenTelemetry can significantly reduce licensing costs, although you still pay for infrastructure, storage, maintenance, and…
- Loki — One important consideration: open-source solutions such as Grafana, Prometheus, Loki, and OpenTelemetry can significantly reduce licensing costs, although you still pay for infrastructure, storage, maintenance, and…
- OpenTelemetry — One important consideration: open-source solutions such as Grafana, Prometheus, Loki, and OpenTelemetry can significantly reduce licensing costs, although you still pay for infrastructure, storage, maintenance, and…
An observability platform typically costs $0–$4,000 per month, with a median around $433/month across commonly compared products. Actual pricing depends heavily on telemetry volume, retention, hosts, users, and enabled features. Typical budgets: Small team: $0–$500/month, often using a free tier or basic plan. Growing production system: $500–$2,000/month. Mid-market deployment: $2,000–$15,000/month. Enterprise: $15,000–$100,000+/month. Common starting prices include:
- Datadog — Datadog: about $15 per host/month for infrastructure monitoring, before add-ons such as APM and logs.
- New Relic — New Relic: 100 GB/month free, then roughly $0.40 per GB plus user charges.
- Grafana — Grafana Cloud: free tier, then around $19/month plus usage.
- Honeycomb — Honeycomb: plans starting around $150/month.
- Elastic Observability — Elastic Observability: roughly $95/month for a standard tier.
The monthly cost of an observability platform varies dramatically based on your infrastructure size, data ingestion volume (G B cap G cap B𝐺𝐵 or logs/traces), number of users, and pricing model.
- Datadog — Major platforms use very different billing philosophies.[](https://tech-insider.org/datadog-pricing-vs-new-relic-grafana-dynatrace-elastic-2026/).
- New Relic — New Relic: Bills primarily per GB of data ingested plus per user seat (no base host fee).
- Dynatrace — Major platforms use very different billing philosophies.[](https://tech-insider.org/datadog-pricing-vs-new-relic-grafana-dynatrace-elastic-2026/).
- Elastic Observability — Elastic Observability: Bills largely by data ingested, retained, and egressed rather than per-host.
- Grafana — Grafana Cloud: Uses a hybrid model billing per active time-series, gigabytes of logs/traces, and active user seats on top of foundational tiers, with entry Kubernetes/infrastructure monitoring components starting…
Citations
Sources the engines cited for this prompt.
| Source | Type | Citations | Cited by |
|---|---|---|---|
| costbench.com | Web | 2 | Perplexity |
| axiom.co | Web | 1 | Perplexity |
| cekura.ai | Web | 1 | Perplexity |
| ciopages.com | Web | 1 | ChatGPT |
| coralogix.com | Brand site · Coralogix | 1 | Perplexity |
| datadoghq.com | Brand site · Datadog | 1 | ChatGPT |
| dotcom-monitor.com | Web | 1 | Perplexity |
| metoro.io | Web | 1 | Perplexity |
| motadata.com | Web | 1 | Perplexity |
| newrelic.com | Brand site · New Relic | 1 | ChatGPT |
| sherlocks.ai | Web | 1 | Perplexity |
| splunk.com | Brand site · Splunk | 1 | ChatGPT |
| tech-insider.org | Web | 1 | Google AI Mode |
| underdefense.com | Web | 1 | Google AI Mode |
| uptrace.dev | Brand site · Uptrace | 1 | Perplexity |