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Langfuse vs briq

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Langfuse compared with briq
Detail Langfusebriq logo briq
What it doesOpen Source Agent Evals & Observability Cloud sandboxes and services for builders and agents
StageEstablished Not given
FoundedNot given Not given
Based inDE FR
Pricing modelFreemium Freemium
PricingNot given Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s
Key features
  • Hierarchical traces capture every LLM call, tool invocation, and retrieval step
  • LLM-as-a-judge, heuristic functions, or human review evaluations
  • Prompt management with one-click deployments and rollbacks
  • Playground to test prompts on real production inputs and compare models
  • Experiments with test cases and side-by-side comparison
  • Human annotation and collaborative human-in-the-loop workflows
  • Cost and latency monitoring with dashboards and alerts
  • REST APIs and Query SDK for data access
  • Langfuse Assistant to automate the AI engineering loop
  • Linux sandbox with shell, persistent files and development tools
  • Multiple services: Postgres, Redis, DuckDB, custom OCI images
  • MCP integration with Claude, Cursor, VS Code
  • Environment forking with data preservation
  • Idle workload sleep mode with compute billing pause
  • Private networks with public endpoint selection
  • Spend caps, size limits and concurrency controls per credential
  • Audit log for reviewing all actions
What makes it different
  • MIT licensed open source platform with no data lock-in
  • Enterprise scale architecture handling billions of monthly events
  • Works with any language and framework with no framework lock-in
  • Async by default so tracing never blocks your application
  • Built specifically for AI agents with native MCP protocol support
  • Open-source runtime in public development with Rust and Firecracker
  • Integrated services ecosystem with private networking
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)80 +1 (up) since last check18 −1 (down) since last check
Trust Flow (Majestic)350
Citation Flow (Majestic)5420
Referring domains (Majestic)611424

5 details filled in for both companies.

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