Uptrace alternatives: top competitors compared
Uptrace has a visibility score of 0.7 in Observability, #32 of 45. AI answers that name Uptrace most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Datadog | Engineering teams that maintain, optimize and secure cloud or hybrid environments | $0.05 / mo | 69.5% | Observability and security in one AI-powered platform, with more than 1,000 built-in integrations |
| Grafana | Teams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises | Free; paid from $19 / mo | 47.8% | Built on open standards like OpenTelemetry and Prometheus with an open source foundation, so existing tools and data sources connect without rip-and-replace |
| New Relic | Engineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier. | Free; paid from $10 / mo | 47.1% | Usage-based pricing built on users and data ingest or compute, with no per-host counting and no charges for data egress or hydration. |
| Honeycomb | Engineering teams running distributed services and AI agents in production, including dev, ops, SRE, and platform teams | Free; paid from $150 / mo | 14.1% | Event-based, high-cardinality querying of production data with no sampling, no preaggregation, and unlimited fields and users |
Datadog
Datadog suits engineering teams that maintain, optimize and secure cloud or hybrid environments.
Quick facts
- $0.05 / mo · usage-based
- 69.5% visibility score · #1 in Observability
- 1000+ native integrations
Key features
- Infrastructure Monitoring — SaaS metrics, visualizations and alerting for cloud, hybrid and on-premise infrastructure.
- APM — Monitors application performance with distributed traces and service overviews.
- Log Management — Collects, searches and analyzes logs in context with metrics and traces.
- Bits AI — AI agents that chat with telemetry, investigate alerts and help remediate issues.
Datadog vs Uptrace
| Dimension | Datadog | Uptrace |
|---|---|---|
| Visibility score | 69.5% | 0.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | $0.05 / mo | Contact sales |
| Free plan | No | Yes |
| Trial | — | Free plan available |
Pros
- Market-leading observability platform
- All-in-one platform breadth across infrastructure, APM, logs and security
- Great out-of-the-box integrations and ease of use
- AI-assisted troubleshooting and unified full-stack correlation
- Free trial available
Cons
- Rising costs at scale and sticker shock as log and trace volumes grow
- Complex, opaque billing and surprise overage fees
Grafana
Grafana suits teams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises.
Quick facts
- Free; paid from $19 / mo · usage-based
- Free plan available
- 47.8% visibility score · #2 in Observability
Key features
- Grafana Cloud — Fully managed observability platform unifying metrics, logs, traces, profiles and business data.
- Grafana — Open source dashboarding and data visualization tool, created in 2013.
- Grafana Enterprise — Self-managed commercial edition of Grafana.
- Grafana Assistant — AI agent embedded in Grafana Cloud for questions, dashboards and automated routine work.
Grafana vs Uptrace
| Dimension | Grafana | Uptrace |
|---|---|---|
| Visibility score | 47.8% | 0.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $19 / mo | Contact sales |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- Permanent free tier
- Open, composable, flexible platform
- Strong open-source, Prometheus and OpenTelemetry support
- Cost-effective, good value
- Managed hosting
Cons
- Complex multi-dimensional usage-based billing
- Self-hosting demands significant engineering maintenance
- Capped free-tier limits
New Relic
New Relic suits engineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier..
Quick facts
- Free; paid from $10 / mo · usage-based
- Free plan available
- 47.1% visibility score · #3 in Observability
- 800+ native integrations
Key features
- APM — Application performance monitoring with distributed tracing, linked to customer experience and revenue.
- Digital Experience Monitoring — Browser, mobile and synthetic monitoring with session replay to find user friction.
- AI and Agentic Monitoring — Monitors model and agent interactions, including token usage and cost.
- Infrastructure Monitoring — Health of cloud-native and Kubernetes environments, tied to the applications running on them.
New Relic vs Uptrace
| Dimension | New Relic | Uptrace |
|---|---|---|
| Visibility score | 47.1% | 0.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $10 / mo | Contact sales |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- Generous permanent free tier with 100 GB monthly ingest
- Easy setup and quick APM start with minimal upfront cost
- Unified, consumption-based pricing model
- Strong full-stack observability platform and APM pioneer
- Value and accessibility with AI-assisted querying and diagnostics
Cons
- Costs can surprise as log and trace volume scales
- Pricing requires careful cost governance and depends on usage
Honeycomb
Honeycomb suits engineering teams running distributed services and AI agents in production, including dev, ops, SRE, and platform teams.
Quick facts
- Free; paid from $150 / mo · usage-based
- Free plan available
- 14.1% visibility score · #9 in Observability
- 100+ native integrations
Key features
- Distributed Tracing & Analysis — Real-time investigation of high-cardinality production data with heatmaps, BubbleUp, and SLOs.
- Canvas, Team Agents & MCP — A Canvas co-pilot for shared investigation, Team Agents that run investigations, and an MCP server that gives AI tools production context.
- AI Ecosystem — Fleet-wide monitoring of AI agents, including LLM calls, failures, token cost, and latency per model.
- Honeycomb Metrics — Metrics product generally available to all customers since March 2026.
Honeycomb vs Uptrace
| Dimension | Honeycomb | Uptrace |
|---|---|---|
| Visibility score | 14.1% | 0.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $150 / mo | Contact sales |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- High-cardinality debugging
- Deep distributed tracing for complex distributed systems
- Predictable event-based pricing
- Highly rated by Gartner Peer Insights
- Recognized as a visionary for high-cardinality data exploration
Cons
- Self-hosted backend must be managed and scaled by the team
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Uptrace | Usage-based | Contact sales |
| Datadog | Usage-based | $0.05 / mo |
| Grafana | Usage-based | Free; paid from $19 / mo |
| New Relic | Usage-based | Free; paid from $10 / mo |
| Honeycomb | Usage-based | Free; paid from $150 / mo |
More alternatives
Ranked by how often AI answers name them alongside Uptrace in the latest weekly run.