New Relic vs Uptrace: Keep the Telemetry, Decide Who Runs the Backend

Uptrace is more than an inexpensive trace viewer. It accepts traces, metrics, and logs and provides queries and alerts. Its current self-hosting guide lists ClickHouse, PostgreSQL, and Redis. Describing it as a tracing add-on that costs almost nothing to operate understates both its software scope and the team's responsibilities.

The New Relic versus Uptrace decision concerns which existing workflows to keep and who should run the backend. OTel can make collection changes more independent. Proprietary New Relic instrumentation, NRQL dashboards, and alerts add application and query work to the migration. Subscription price is one part of that investment.

Guance Editorial Team · October 27, 2026. This source-based comparison covers New Relic SaaS, Uptrace Cloud, and self-hosted Uptrace. It includes no production performance test or claimed vendor savings result.

Uptrace accepts more than traces

Uptrace's ingestion catalogue includes OTel SDKs and Collector paths as well as Prometheus remote write, Vector, Fluent Bit, and Sentry integrations. Each has its own supported signals and configuration. “OTLP only” is therefore inaccurate as a description of the platform. Uptrace ingestion

For an application already using OTel, migration can focus on exporters, authentication, resource attributes, and processing. New Relic also accepts all three OTel signals. It need not be portrayed as a closed collection system to explain why another backend might fit. New Relic OTel data

Native Agent APIs, custom events, and application naming need separate attention. An existing New Relic API call does not become meaningful to Uptrace because Uptrace accepts OTLP. Suitable business operations and attributes can be represented in OTel, but whether a fact belongs in a span, event, or metric depends on what it originally answered.

Recovery involves more than the telemetry database

In Uptrace's current self-hosted architecture, ClickHouse stores traces, logs, and metrics; PostgreSQL holds users, projects, dashboards, and related metadata; Redis provides caching and background-job coordination. A deployment package makes the components easier to start together. It does not turn them into a maintenance-free file. Self-hosted architecture, installation guide

Backups therefore need more than the largest database. Telemetry can survive while lost user, project, or query configuration still disrupts recovery. Upgrades need to account for application versions and database migrations. Capacity planning includes ingestion, historical scans, background work, and concurrent queries.

Licensing and support also depend on the edition. Uptrace currently distinguishes Community and commercial delivery options. Free software does not make support, infrastructure, or engineering time free. Uptrace editions

Successful ingestion does not migrate a dashboard

If an old chart counts Transaction events and a new one aggregates spans, define whether those spans represent entry operations, clients, or every internal call. One request can contain several spans. Counting them all inflates the apparent request rate; dividing failed spans by all spans does not necessarily yield a business-request error rate.

Likewise, P95 needs to be calculated over the required population, not by averaging P95 values from different services or time buckets. Changes to retention, sampling position, or field types can alter a chart even when ingestion succeeds on both sides. Record the business meaning and counted population alongside the query.

Log correlation also requires context. New Relic's logs in context uses trace, span, and entity metadata. A different collection path needs to put those identifiers where the destination recognizes them. Retained logs cannot recover spans discarded by sampling or expiration. New Relic correlation

Guance supports OTel ingestion and trace-to-log correlation, offering another way to retain standard application instrumentation with a managed query backend. It reduces backend operating work. The team still defines aggregation semantics, business fields, and sampling. That division of responsibility should be explicit, just as it should for Uptrace Cloud or self-hosting.

Examine browser coverage at the workflow level

Uptrace documents an OTel browser SDK that sends spans and metrics over OTLP/HTTP, with instrumentation for fetch, XHR, and document loading. It is incorrect to say that the product handles no frontend telemetry. Uptrace browser ingestion

Browser instrumentation does not establish every RUM workflow, however. User journeys, error grouping, session replay, and frontend-to-backend correlation need their own product and collection checks. A team already using New Relic Browser should identify which page and error analyses it uses daily before deciding what to replace, retain, or run alongside. Displaying a backend trace does not settle the frontend question.

Estimate the data, then confirm the applicable quote

Uptrace Cloud currently describes spans/logs separately from metric datapoints and offers retention choices. Metric collection intervals change datapoint counts; span attributes and events affect record size. Adding a long request body to every span can increase volume while also capturing sensitive material that should never enter telemetry.

At the review date, the pricing page contains different starting-rate statements. Its budget-cap description and overage FAQ also need clarification from the vendor. This article therefore does not select one figure to claim a tenfold saving. Obtain a consistent quote for the edition, retention, and overage behavior that will actually apply. Uptrace pricing and usage

New Relic's Data + User and Preview Data + Core Compute paths have different meters too. One ingestion rate cannot represent the whole service. Add infrastructure, backups, maintenance, and recovery work to a self-hosted estimate before comparing it with a managed alternative. New Relic billing

When New Relic queries, browser monitoring, and application workflows already serve the team well, improving collection and volume may be worth more than replacing the platform. Self-hosted Uptrace deserves consideration when backend control is an explicit requirement and the team can operate the databases. Teams attracted to its analysis but lacking database maintainers should compare Uptrace Cloud's full service cost instead. Self-hosting is not a compulsory step toward a smaller bill.