Groundcover vs VictoriaMetrics
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Groundcover is the stronger AI pick in Observability: it has a visibility score of 2.4 versus 0 for VictoriaMetrics.
Choose Groundcover if…
- You want the brand AI engines rank higher (2.4 vs 0)
- You need a self-hosted or on-premises option
- You need GDPR or CCPA coverage
- Predictable flat per-node pricing
Choose VictoriaMetrics if…
- You need ISO/IEC 27001:2013 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Groundcover | VictoriaMetrics |
|---|---|---|
| Visibility score | 2.4% | 0% |
| Change vs last week | New | New |
| Rank in Observability | #23 | #44 |
| Share of voice | 0.5% | 0% |
| Mentions this run | 3 | 0 |
| Positive in AI answers | 0% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Groundcover 0pp · VictoriaMetrics 0pp over 0 weekly runs.
Engine by engine
Groundcover leads on 2 of 3 engines
Head to head in AI answers
0 engine answers name both brands
Features, pricing & fit
| Dimension | Groundcover | VictoriaMetrics |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | Free; paid from $30 per seat / mo | — |
| Free plan | Yes | — |
| Deployment | Bring Your Own Cloud: the data plane runs inside the customer's VPC and is managed by groundcover. A fully on-premises option is offered on the On Premise plan. | Self-hosted on-premise, hybrid or cloud, or fully managed through VictoriaMetrics Cloud |
| Compliance | GDPR, CCPA | ISO/IEC 27001:2013 |
| Support | Slack community support (Free plan), Standard support (Pro plan), Premium support (Enterprise plan) | Community support through chats, GitHub issues and events, Enterprise support from the VictoriaMetrics engineering team |
| Founded | 2021 | 2018 |
| Headquarters | Tel Aviv, Israel | San Francisco, California, United States |
| Employees | 51–200 | 51–200 |
| Funding | Series A · $160M raised | Bootstrapped |
| Best for | Engineering teams running cloud-native and Kubernetes workloads that want full-stack observability without code changes and predictable pricing. | Teams with large volumes of metrics, strict query latency requirements, or a need for cost-effective long-term storage for Prometheus data |
Plans side by side
Groundcover
VictoriaMetrics
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Groundcover
- Predictable flat per-node pricing
- Pricing claims should be verified before purchase
VictoriaMetrics
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Groundcover vs VictoriaMetrics”, https://slateindex.ai/compare/groundcover-vs-victoriametrics, data of Nov 3, 2026. Licence: CC BY 4.0.