Langfuse alternatives: top competitors compared
Named alongside Langfuse
DatadogBest forEngineering teams that maintain, optimize and secure cloud or hybrid environments67% of Langfuse answersNew RelicBest forEngineers responsible for application and system uptime and reliability, and teams that want full-stack observability starting from a free tier.67% of Langfuse answersDynatraceBest forLarge enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security67% of Langfuse answersMLflowBest forTeams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in.33% of Langfuse answers
Data from SlateIndex weekly runs
Langfuse has a visibility score of 1.4 in Observability, #27 of 45. AI answers that name Langfuse 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 |
| 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. |
| Dynatrace | Large enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security | $1.4 / mo | 39.9% | Dynatrace Intelligence uses deterministic AI with causal root cause analysis on the Grail data lakehouse |
| MLflow | Teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in. | — | 50.9% | Fully open source under Apache 2.0, with tracing built on OpenTelemetry and no vendor lock-in. |
Alternative 1
Datadog vs Langfuse →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 Langfuse
| Dimension | Datadog | Langfuse |
|---|---|---|
| Visibility score | 69.5% | 1.4% |
| Pricing model | Usage-based | Usage-based |
| Entry price | $0.05 / mo | Free; paid from $29 / mo |
| 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
Alternative 2
New Relic vs Langfuse →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 Langfuse
| Dimension | New Relic | Langfuse |
|---|---|---|
| Visibility score | 47.1% | 1.4% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $10 / mo | Free; paid from $29 / mo |
| 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
Alternative 3
Dynatrace vs Langfuse →Dynatrace
Dynatrace suits large enterprises running cloud-native, hybrid and AI workloads that want one platform for observability and security.
Quick facts
- $1.4 / mo · usage-based
- 15-day free trial
- 39.9% visibility score · #4 in Observability
- 952+ native integrations
Key features
- Application Observability — APM, distributed tracing and profiling for cloud-native and enterprise stacks.
- AI Observability — Observability for generative AI applications, LLMs and agents.
- Infrastructure Observability — End-to-end infrastructure observability for multi-cloud environments.
- Log Analytics — Log analytics from troubleshooting to business processes.
Dynatrace vs Langfuse
| Dimension | Dynatrace | Langfuse |
|---|---|---|
| Visibility score | 39.9% | 1.4% |
| Pricing model | Usage-based | Usage-based |
| Entry price | $1.4 / mo | Free; paid from $29 / mo |
| Free plan | No | Yes |
| Trial | 15-day free trial | Free plan available |
Pros
- AI-driven automation with Davis AI
- Automated root-cause analysis for complex environments
- Unified full-stack observability and security platform
- Strong fit for large enterprise and hybrid-cloud environments
- Free trial available with own data or sandbox
Cons
- Steep learning curve for its query language
- Higher price point that causes sticker shock as data volumes grow
Alternative 4
MLflow vs Langfuse →MLflow
MLflow suits teams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in..
Quick facts
- Pricing not available
- 50.9% visibility score · #1 in MLOps Platforms
- 100+ native integrations
Key features
- MLflow Tracing and Observability — Captures traces of LLM applications and agents, built on OpenTelemetry, to monitor quality, cost and safety.
- MLflow Evaluation — Runs evaluations with 50+ built-in metrics and LLM judges, and tracks quality metrics over time.
- Prompts and Optimization — Versions, tests and deploys prompts with lineage tracking, and optimizes prompts automatically.
- AI Gateway — Unified OpenAI-compatible gateway for LLM providers, with rate limits, fallbacks and cost control.
MLflow vs Langfuse
| Dimension | MLflow | Langfuse |
|---|---|---|
| Visibility score | 50.9% | 1.4% |
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $29 / mo |
| Free plan | — | Yes |
| Trial | — | Free plan available |
Pros
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
- portability and avoiding cloud or vendor lock-in
- strong free starting point for small teams
Cons
- requires DevOps capability and significant infrastructure and integration work
- lower rating of about 4.3/5
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Langfuse | Usage-based | Free; paid from $29 / mo |
| Datadog | Usage-based | $0.05 / mo |
| New Relic | Usage-based | Free; paid from $10 / mo |
| Dynatrace | Usage-based | $1.4 / mo |
| MLflow | — | — |
More alternatives
Ranked by how often AI answers name them alongside Langfuse in the latest weekly run.