Uptrace
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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.
The record
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
WebSite
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"name": "Uptrace"
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"dateModified": "2026-08-27T03:10:35Z",
"description": "Uptrace is an observability platform using OpenTelemetry to provide distributed tracing, metrics, and logs correlation for applications.",
"keywords": [
"Open Source",
"Application",
"Distributed Tracing",
"Latency",
"Microservices",
"Monitoring",
"Observability",
"Observability Platform",
"OpenTelemetry",
"Performance Monitoring",
"Services",
"Telemetry",
"Visibility"
],
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"name": "Uptrace"
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"name": "Uptrace",
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What we add
Topic graph
A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.
Data Center https://decisioninsights.ai/term/data-center/
Network Operator https://decisioninsights.ai/term/network-operator/
Application https://decisioninsights.ai/term/application/
and 10 more
Counted facts
A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.
Related projects OpenTracing, OpenTelemetry, Eclipse Trace Compass, Jaeger, bpftrace, Telegraf, Pinpoint, Apache SkyWalking
Related organizations SigNoz, Coralogix, Lumigo, Logz.io, New Relic, Elastic N.V., Honeycomb.io, Datadog