Atatus API Analytics vs Langfuse

Atatus API Analytics monitors and analyzes REST, GraphQL, and WebSocket API performance in real time. It records endpoint latency at mean, median, P95, and P99 levels, and examines traffic spikes, geographic usage, endpoint distribution, and peak-load behavior. Dependency views map downstream calls and show third-party performance, external latency, and dependency health. Tracing can connect slowdowns to database queries, containers, external services, or code regressions. Automatic capture covers performance, errors, request volumes, payload sizes, and dependencies. Backend instrumentation uses Atatus SDKs or OpenTelemetry; full capabilities require analytics=true and logBody=true settings. Dashboards provide customizable views and alert thresholds with email, Slack, PagerDuty, and webhook channels. API Analytics integrates with Atatus APM and lists Kong Gateway support. Deployment options include web, API, and self-hosted environments, with on-premises traffic analytics. Pricing is on request, with a 14-day trial and no credit card required.

Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.