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← Compare·vs ML/LLM observability

Flowlines vs Arize.

Flowlines reads from Arize rather than replacing it. Arize is broad ML/LLM observability with tracing, evals, and metrics; Flowlines is focused behavioral observability that adds cross-session signals, behavioral cohorts, and prompt-version impact on top of the OTEL traces Arize already collects.

Arize (and Phoenix) is a broad observability platform for ML and LLM systems: tracing, evaluation, drift on embeddings/metrics, and dashboards. It's deep and general-purpose.

Flowlines is narrow and behavioral. It reads OTEL traces (the same ones Arize ingests) and concentrates on agent behavior across sessions: named behavioral signals, happy/at-risk/churning cohorts, per-user Power Score, and before/after impact for every prompt version. If you run Arize, Flowlines connects to the same OTEL source.

Head to head
CapabilityArizeFlowlines
ScopeBroad ML + LLM observabilityFocused agent behavior
Tracing & metricsYes, nativeReads from OTEL
EvalsYesNo, that's pre-ship
Cross-session behavioral signalsPartialYes, the core
Behavioral user cohortsNoYes
Prompt-version before/afterLimitedYes
SetupSDK / collectorReads OTEL, no SDK
Bottom line

Arize is the broad platform; Flowlines is the opinionated behavioral layer for agents specifically. They share the same OTEL traces, so adding Flowlines is a read connection, not a re-instrumentation.