Last reviewed . Product packaging and pricing can change; verify the linked vendor sources before buying.
Try self-hosted ClickHouse alongside Telemetry
Choose one self-hosted ClickHouse workflow and test both systems with the same fixed dataset. Check which capabilities you still need before changing production monitoring.
- 1
Inventory self-hosted ClickHouse
ClickHouse tables and MergeTree schemas
- 2
Map one workflow
Managed event tables whose columns are inferred from stable JSON contracts.
- 3
Dual-run the fixture
Test type compatibility, timestamp units, nullability, and representative nested fields.
- 4
Record the decision
Do you need full control, OpenTelemetry correlation across logs/metrics/traces, or very large-scale analytics? ClickHouse or ClickStack is likely the better fit.
How Telemetry is different
- Telemetry hosts an event API, inferred tables, SQL, dashboards, and alerts in one application.
- ClickHouse is a columnar database. ClickStack adds an OpenTelemetry observability UI, and managed ClickStack runs on ClickHouse Cloud.
- Telemetry handles event ingestion and querying in a hosted application. ClickHouse gives you more control over storage and supports a broader range of analytical workloads.
When Telemetry is a good fit
- You want SQL-first event analytics.
- You have backend events, jobs, API logs, or agent traces to query.
- You would rather ship instrumentation than operate another data system.
Where each product is strongest
self-hosted ClickHouse
- Columnar analytics with control over schemas, ingestion, query tuning, and deployment.
- Managed ClickStack supports logs, metrics, traces, session replays, OpenTelemetry, dashboards, alerts, Lucene-style search, and SQL.
- A stronger foundation for petabyte-scale observability, data warehousing, or custom analytics platforms.
Telemetry
- An event API and query UI that does not require a ClickHouse deployment or OpenTelemetry pipeline.
- Automatic table creation and a guided workflow for app, product, job, webhook, and agent events.
- SQL queries and coding-agent templates for tasks such as tracking API errors and job failures.
Evaluation checklist
Test the decision with a real workflow
- 1Do you need full control, OpenTelemetry correlation across logs/metrics/traces, or very large-scale analytics? ClickHouse or ClickStack is likely the better fit.
- 2Do you have the engineering capacity to own schemas, ingestion, upgrades, backups, and security if you self-host?
- 3Prototype one real event stream and compare query capability, operational ownership, dashboard needs, and total cost at your expected scale.
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.
self-hosted ClickHouse workflow
ClickHouse tables and MergeTree schemas
Telemetry mapping
Managed event tables whose columns are inferred from stable JSON contracts.
Dual-run validation
Test type compatibility, timestamp units, nullability, and representative nested fields.
self-hosted ClickHouse workflow
ClickHouse SQL and materialized views
Telemetry mapping
DataFusion SQL recipes, saved queries, and application-owned precomputation where needed.
Dual-run validation
Compare exact result sets and scan behavior; do not assume dialect or engine features are interchangeable.
self-hosted ClickHouse workflow
Self-managed ingestion, storage, replication, and tuning
Telemetry mapping
A hosted ingestion-to-query path with fewer infrastructure controls.
Dual-run validation
Benchmark the real payload distribution, concurrency, retention, and query windows before migrating.
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 structured logging and event analytics tools
Compare log platforms, wide-event systems, error monitoring, data infrastructure, and SQL event analytics using one production workflow.
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 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 Opik
Opik is an open-source LLM evaluation and observability platform with traces, datasets, metrics, experiments, and test suites. Telemetry uses SQL to analyze selected AI and application results.
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