Last reviewed . Product packaging and pricing can change; verify the linked vendor sources before buying.
Try Opik alongside Telemetry
Choose one Opik workflow and test both systems with the same fixed dataset. Check which capabilities you still need before changing production monitoring.
- 1
Inventory Opik
Opik production traces and span inspection
- 2
Map one workflow
Telemetry has no detailed trace viewer. Keep Opik for execution details and send approved final results with a run ID you have reviewed.
- 3
Dual-run the fixture
Test one model and tool trace, recovered retry, terminal failure, and correlation handoff without duplicating sensitive content.
- 4
Record the decision
List required traces, datasets, metrics, experiments, test suites, online evaluation, and human-review workflows.
How Telemetry is different
- Opik provides AI traces, evaluation datasets, metrics, experiments, and test suites. Telemetry queries application events.
- Opik lets you review production traces and run evaluations. Telemetry stores events that record how each task ended.
- Telemetry joins AI quality and cost to product, account, billing, API, job, and release events using SQL.
When Telemetry is a good fit
- The team needs aggregate outcome, cost, adoption, and reliability analysis more than an evaluation workbench.
- Opik remains the trace and evaluation system while Telemetry stores reviewed product outcomes.
- A shared run identifier can connect systems without duplicating sensitive AI content.
Where each product is strongest
Opik
- Purpose-built LLM traces, datasets, prebuilt and custom evaluation metrics, experiments, and behavioral test suites.
- Self-hosting options and tools for turning production failures into regression tests.
- A stronger fit when detailed AI evaluation and trace evidence are the primary requirement.
Telemetry
- Your application sends fields that record accepted, rejected, failed, escalated, or handed-off results.
- Query AI workflows alongside other SaaS product events with SQL.
- Choose which fields to send, excluding prompts, completions, retrieved documents, and tool payloads.
Evaluation checklist
Test the decision with a real workflow
- 1List required traces, datasets, metrics, experiments, test suites, online evaluation, and human-review workflows.
- 2Evaluate one real failure, one regression test, and one aggregate release comparison using the same approved fixture.
- 3Compare self-hosting work, access, retention, export, model-judge cost, and current hosted-service packaging.
Migration path
Plan the query and event migration before changing tools
List the queries, alerts, exports, and retention you use today. Define the event fields they need and translate one query. Run both systems with the same test data. Check null handling, timestamps, and aggregates before moving more queries.
Opik workflow
Opik production traces and span inspection
Telemetry mapping
Telemetry has no detailed trace viewer. Keep Opik for execution details and send approved final results with a run ID you have reviewed.
Dual-run validation
Test one model and tool trace, recovered retry, terminal failure, and correlation handoff without duplicating sensitive content.
Opik workflow
Opik datasets, evaluation metrics, experiments, and test suites
Telemetry mapping
Versioned evaluation result events for aggregate SQL; keep Opik for test execution, datasets, judge metrics, and failure review.
Dual-run validation
Compare a frozen baseline and candidate with identical examples, metric versions, thresholds, execution policy, and evaluated coverage.
Opik workflow
Opik aggregate production evaluation views
Telemetry mapping
SQL dashboards joining evaluated quality and cost to releases, accounts, product outcomes, incidents, and handoffs.
Dual-run validation
Reconcile trace count, evaluation coverage, score distribution, latency, cost, and downstream acceptance over a fixed window.
Try one workflow
Start with one backend workflow
Pick an API route, AI workflow, webhook, or job queue. Send structured events and query them before expanding coverage.
Category buying guide
Compare AI observability tools for your workflow
Compare AI observability approaches for traces, prompts, evaluations, model cost, tool reliability, SQL analysis, and product outcomes.
Read the comparison guideMore comparisons
PostHog for backend events
PostHog combines product analytics, funnels, retention, SQL, and a data warehouse. Telemetry focuses on backend event tables and SQL dashboards. A coding agent can add the instrumentation from your codebase.
Read comparisonDatadog alternative for startups
Datadog covers observability and security across your infrastructure. Telemetry hosts structured application events, SQL dashboards, and threshold alerts for teams that need to query their own workflows.
Read comparisonClickHouse logging API without running ClickHouse
ClickHouse is a columnar analytics database, and ClickStack adds observability tools. Telemetry hosts event ingestion, SQL queries, dashboards, and alerts so you do not have to assemble or operate that stack.
Read comparisonAxiom alternative for structured event analytics
Axiom offers event ingestion, search, APL queries, dashboards, and monitors. Telemetry uses typed application event tables and SQL. Its coding-agent prompts help you add instrumentation and build queries from your codebase.
Read comparisonBetter Stack Logs alternative for SQL event analytics
Better Stack combines logs, dashboards, alerting, incident management, and uptime monitoring. Telemetry focuses on application event tables and SQL queries, with prompts that help a coding agent add instrumentation to your codebase.
Read comparisonHoneycomb alternative for lightweight wide events
Honeycomb supports high-cardinality debugging with wide events and distributed traces. Telemetry stores application and business events in SQL tables, with dashboards and threshold alerts.
Read comparisonGrafana Loki alternative for structured log SQL
Grafana Cloud and Loki combine logs, metrics, traces, dashboards, and alerts. Telemetry hosts JSON event tables and SQL for teams that need to analyze application workflows.
Read comparisonSentry alternative for structured events and SQL
Sentry combines error monitoring, tracing, profiling, session replay, and logs around application health. Telemetry is the narrower alternative when a team's first requirement is custom structured workflow events and SQL analysis rather than exception-centric debugging.
Read comparisonSplunk alternative for structured events
Splunk offers search, security analytics, logs, infrastructure monitoring, APM, real-user monitoring, and OpenTelemetry collection. Telemetry focuses on application events that you choose to send and query with SQL.
Read comparisonElastic alternative for structured event SQL
Elastic Observability combines Elasticsearch, Kibana, logs, metrics, APM, profiling, and OpenTelemetry collection. Telemetry is the focused alternative when the main job is managed application-event ingestion and SQL analysis without operating or modeling a broader Elastic deployment.
Read comparisonNew Relic alternative for structured events
New Relic is a broad observability platform spanning APM, infrastructure, logs, browser, mobile, synthetics, errors, and NRQL. Telemetry is the narrower choice when a team wants custom structured outcomes, SQL, and a lightweight event-analysis workflow.
Read comparisonTelemetry vs Langfuse for AI observability
Langfuse provides LLM traces, prompt management, evaluations, datasets, and experiments. Telemetry stores events for agent runs and product activity so you can query their cost, reliability, and results with SQL.
Read comparisonTelemetry vs LangSmith for AI observability
LangSmith provides tracing, evaluations, datasets, experiments, and deployment options for LLM applications. Telemetry stores the final results of AI and application tasks in event tables you can query with SQL.
Read comparisonTelemetry vs Arize Phoenix
Arize Phoenix is an open-source AI observability and evaluation platform built around traces, prompts, datasets, and experiments. Telemetry focuses on compact structured outcomes and SQL.
Read comparisonTelemetry vs Pydantic Logfire
Pydantic Logfire combines OpenTelemetry-based application monitoring with AI tracing and conversation views. Telemetry stores selected application outcomes in tables you can query with SQL.
Read comparisonTelemetry vs Mixpanel
Mixpanel is a product and digital analytics platform built around behavioral reports such as insights, funnels, flows, retention, and cohorts. Telemetry is the narrower choice for SQL over application-owned product and operational events.
Read comparisonTelemetry vs Amplitude
Amplitude is a digital analytics platform with product-analysis workflows for events, funnels, retention, journeys, cohorts, and experimentation. Telemetry focuses on compact structured events and explicit SQL.
Read comparisonTelemetry vs Braintrust
Braintrust is an AI evaluation and observability platform built around experiments, datasets, scorers, prompts, and production traces. Telemetry focuses on SQL over selected AI and product outcomes.
Read comparisonTelemetry vs Helicone
Helicone combines an AI gateway with LLM request observability, sessions, cost analytics, caching, and alerts. Telemetry is a provider-neutral SQL layer for selected AI and application outcomes.
Read comparisonTelemetry vs W&B Weave
W&B Weave is an AI observability and evaluation platform with traces, datasets, scorers, versioning, feedback, and production monitoring. Telemetry focuses on SQL over selected AI and product outcomes.
Read comparisonTelemetry vs MLflow for GenAI
MLflow provides OpenTelemetry-compatible GenAI tracing, evaluations, prompt versioning, experiments, and production monitoring. Telemetry stores selected task results in event tables that you can join with other application data using SQL.
Read comparisonTelemetry vs OpenLIT
OpenLIT is an open-source, OpenTelemetry-native AI engineering platform with auto-instrumentation, traces, evaluations, prompts, experiments, dashboards, and collectors. Telemetry focuses on SQL outcome events.
Read comparison