Langfuse vs Qdrant

Langfuse

Qdrant

Langfuse · 16 features

• Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
• Dashboards — Aggregate metrics, cost, quality across projects.
• Datasets — Curate test sets from production traces. Run experiments.
• EU Cloud Region — GDPR-compliant hosting in EU.
• Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
• LLM Cost Tracking — Automatic cost calculation per provider/model.
• OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
• Playground — Test prompts + models + variables live.
• Prompt Management — Version, tag, label prompts. Reference from code by label.
• Public API — Full REST API for ingest, query, prompt management.
• Python @observe decorator — One-line decorator to trace any function.
• Self-Hosting — Docker Compose + k8s Helm chart.
• Sessions — Group related traces (conversations, agent runs).
• Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
• Users Tracking — Segment traces by user ID, track per-user cost.
• Webhooks — Subscribe to trace completion events.

Qdrant · 13 features

• BYOC (Hybrid Cloud) — Managed Qdrant in your cloud account.
• Cloud Inference — Hosted embedding models for free tokens.
• Cluster Monitoring — Prometheus metrics + health.
• Collections — Typed collections with named vectors + payload schema.
• Distributed — Horizontal sharding + Raft replication.
• Hybrid Search — Sparse + dense + keyword in one query.
• Multi-Vector — Multiple vectors per point (text + image, etc.).
• Open Source — Apache 2.0 licensed.
• Payload Filters — Rich filter DSL with indexed fields.
• Quantization — Scalar + product + binary for memory reduction.
• RBAC — API-key scopes + roles.
• Snapshots + Restore — Backup + DR primitives.
• Sparse Vectors — BM25 + SPLADE sparse embeddings natively.