Grafana Cloud vs Tessary
Grafana Cloud and Tessary are both uptime & monitoring tools. Grafana Cloud is aimed at developers and enterprise, while Tessary is aimed at developers and small businesses. Both have a free plan.
Open-source observability dashboards
Open-source monitoring that finds why production AI agents fail
| Pricing | Freemium · $19 | Open source |
| Starting price | $19/mo | Not published |
| Free plan | Yes | Yes |
| Free trial | 14 days | — |
| Built for | Developers, Enterprise | Developers, Small businesses, Enterprise |
| Platforms | web | web, linux |
| Country | US · 2014 | — |
| Rating | — | — |
Choose Grafana Cloud if
Engineering teams comfortable with open-source observability who want control and lower cost.
- Open source with no lock-in
- Generous free cloud tier
- Visualizes almost any data source
Look elsewhere if: Teams wanting turnkey, fully integrated APM (Datadog, New Relic).
Choose Tessary if
Engineering teams running AI agents in production with OpenTelemetry traces who want every trace checked and failures explained.
- Apache 2.0 open source with free self-hosting
- Checks every trace instead of a sampled subset
- RCA links failures to specific commits when a repo is connected
Look elsewhere if: Teams that want a mature, fully supported observability suite or an eval-first workflow (Datadog, Braintrust).
Grafana Cloud vs Tessary pricing
Grafana Cloud
- Free$010k metrics series, 50 GB logs/traces, 3 users, 14-day retention
- Pro$19/moPlatform fee plus usage; 3 users included, then $8/user
- Enterprise$25,000/yrMinimum annual spend commit; custom retention
Tessary
- Open Source$0Self-host with Docker Compose; all core features
- Cloud Free$010k traces/mo, 1 GB, 30-day retention, $10 one-time RCA credit
- PaidCustomCustom classifiers, managed dedicated instance, Slack support
Grafana Cloud · Key features
- Dashboards over 150+ data sources
- Prometheus-compatible metrics (Mimir)
- Logs with Loki and traces with Tempo
- Alerting, on-call and incident response
- k6 load testing and synthetic monitoring
- Self-hosted open source or managed cloud
Cons
- More setup than Datadog
- Query languages to learn (PromQL, LogQL)
- Fragmented product surface
Tessary · Key features
- Classifiers run on every production trace with no sampling
- Built-in checks for drift, tool errors, secret leaks and malformed output
- LLM triage groups real deviations into trackable cases
- Root-cause analysis over failing traces and your GitHub repository
- OTLP ingestion over HTTP and gRPC with OpenTelemetry gen_ai conventions
- PII redaction before traces are stored
Cons
- Very new project with a short track record
- Paid plan prices are not published
- Frustration classifier requires your own OpenRouter or TypeSafe key
Grafana Cloud vs Tessary: FAQ
Do Grafana Cloud and Tessary have a free plan?
Yes, both Grafana Cloud and Tessary have a free plan; paid plans add more usage and features.
Which is better for small businesses, Grafana Cloud or Tessary?
Tessary lists small businesses as a core audience, while Grafana Cloud is aimed more at developers and enterprise.