{"slug":"grafana-tempo","name":"Grafana Tempo","domain":"grafana.com","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank Grafana Tempo first for distributed tracing tool for microservices. Source: https://modelsagree.com/product/grafana-tempo (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":1,"brief":{"category":"best-distributed-tracing-tool-for-microservices","title":"Best distributed tracing tool for microservices","rank":1,"of":5,"top":null,"day":"2026-07-16","why":[{"t":"cost-efficient object storage","m":["Claude","Grok","ChatGPT","Gemini"],"q":"object-storage backend makes retaining 100% of traces cheap at scale"},{"t":"Grafana stack correlation","m":["Claude","Grok","ChatGPT","Gemini"],"q":"giving metrics-to-trace-to-log correlation for near-zero marginal cost"},{"t":"high scale and OpenTelemetry compatibility","m":["Grok","ChatGPT","Gemini"],"q":"high scalability for high-volume microservices, OpenTelemetry-native"},{"t":"TraceQL trace search","m":["Claude","ChatGPT"],"q":"TraceQL enables real trace search/analysis"}],"gap":[],"fix":[{"t":"substantial self-hosting complexity","m":["ChatGPT","Claude"],"q":"adds substantial operational complexity"},{"t":"weak standalone analytics","m":["Claude","Grok"],"q":"weak built-in analytics and no APM-style service views out of the box"},{"t":"limited raw trace search","m":["Gemini","Grok"],"q":"querying raw trace data with TraceQL over object storage is slow without custom caching"}]},"entries":[{"slug":"best-distributed-tracing-tool-for-microservices","title":"Best distributed tracing tool for microservices","rank":1,"of":5,"score":18,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":1,"Gemini":2,"Grok":1},"reason":"The best value in tracing for the typical microservices team — object-storage backend makes retaining 100% of traces cheap at scale, TraceQL enables real trace search/analysis, and it slots into the Grafana/Prometheus/Loki stack most teams already run, giving metrics-to-trace-to-log correlation for near-zero marginal cost; rank assumes you're on or open to the Grafana stack","reasons":[{"model":"Claude","reason":"The best value in tracing for the typical microservices team — object-storage backend makes retaining 100% of traces cheap at scale, TraceQL enables real trace search/analysis, and it slots into the Grafana/Prometheus/Loki stack most teams already run, giving metrics-to-trace-to-log correlation for near-zero marginal cost; rank assumes you're on or open to the Grafana stack"},{"model":"Grok","reason":"Excellent cost-efficiency with object storage backend, seamless integration in Grafana/LGTM stack for trace-log-metric correlation, high scalability for high-volume microservices, OpenTelemetry-native, low operational overhead compared to traditional backends like Jaeger. Assumption: Typical practitioner values composable open-source stacks and predictable costs in Kubernetes/cloud-native environments."},{"model":"ChatGPT","reason":"Excellent value at scale through object-storage-backed retention, strong OpenTelemetry compatibility, TraceQL, service graphs, span-derived metrics, and tight Grafana/Loki/Prometheus correlation; near-tied with Honeycomb for teams already using Grafana."},{"model":"Gemini","reason":"Exceptional cost-efficiency and horizontal scale for self-hosted environments by storing trace data in object storage rather than indexing every span, tightly integrating with the Grafana dashboard ecosystem."}],"fixes":[{"model":"ChatGPT","fix":"Self-hosting the production-scale architecture, including Kafka and object storage, adds substantial operational complexity."},{"model":"Claude","fix":"Not a standalone product — without Grafana, Prometheus, and an OTel pipeline around it, it's just a trace store with weak built-in analytics and no APM-style service views out of the box"},{"model":"Gemini","fix":"Locating specific traces depends heavily on correlations from logs or metrics, as querying raw trace data with TraceQL over object storage is slow without custom caching."},{"model":"Grok","fix":"Primarily trace-ID lookup focused (tag-based search limited without extra indexing), best as part of broader Grafana ecosystem rather than standalone."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-07","2026-07-08","2026-07-09","2026-07-10","2026-07-14","2026-07-15"],"ranks":[3,2,5,2,4,3,1,2]},"reasoning_shift":[{"model":"Gemini","from":"2026-07-14","to":"2026-07-15","added":[{"t":"TraceQL is slow without caching","q":"querying raw trace data with TraceQL over object storage is slow without custom caching"}],"dropped":[]},{"model":"ChatGPT","from":"2026-07-14","to":"2026-07-15","added":[{"t":"Span-derived metrics","q":"span-derived metrics"},{"t":"Near-tied with Honeycomb","q":"near-tied with Honeycomb for teams already using Grafana"},{"t":"Kafka adds operational complexity","q":"including Kafka and object storage, adds substantial operational complexity"}],"dropped":[{"t":"Not a polished standalone experience","q":"Tempo is not a polished standalone experience without Grafana and adjacent components."},{"t":"Grafana Cloud avoids self-operation","q":"or use Grafana Cloud"}]},{"model":"Grok","from":"2026-07-07","to":"2026-07-14","added":[{"t":"Composable open-source stacks","q":"Typical practitioner values composable open-source stacks and predictable costs in Kubernetes/cloud-native environments."},{"t":"Limited tag-based search","q":"Primarily trace-ID lookup focused (tag-based search limited without extra indexing)"},{"t":"Not ideal standalone","q":"best as part of broader Grafana ecosystem rather than standalone"}],"dropped":[{"t":"Improve trace exploration speed","q":"Improve trace search/exploration speed"},{"t":"Dedicated high-performance tracing workflow","q":"provide a more dedicated high-performance tracing workflow to reduce debugging friction"}]},{"model":"Claude","from":"2026-07-10","to":"2026-07-14","added":[{"t":"Retaining all traces cheaply","q":"retaining 100% of traces cheap at scale"},{"t":"Rank assumes Grafana stack","q":"rank assumes you're on or open to the Grafana stack"},{"t":"Requires an OTel pipeline","q":"without Grafana, Prometheus, and an OTel pipeline around it, it's just a trace store"}],"dropped":[{"t":"Open vendor-neutral loop","q":"open, vendor-neutral trace-to-metrics-to-logs loop"}]}],"api":"https://modelsagree.com/api/v1/best/best-distributed-tracing-tool-for-microservices.json"}],"page":"https://modelsagree.com/product/grafana-tempo","check":"https://modelsagree.com/check?q=Grafana%20Tempo","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}