Buyer’s Guide - August 2026

The 10 best ClickHouse monitoring tools, ranked

ClickHouse exposes unusually rich system tables and a built-in Prometheus endpoint, so almost every tool in this category is a wrapper over the same data. What separates them is collection resolution, ClickHouse-specific alerting, query-level analysis, and how the bill grows. We ranked ten tools on those axes, from per-second agents to minute-level plugin pollers.

Start with Netdata (free) Jump to rankings

Why this list exists

ClickHouse is not a traditional OLTP database, and monitoring it like one is the most common mistake buyers make. Connection counts and CPU tell you almost nothing. The failure modes that actually take down a ClickHouse cluster are merge backlog, replication lag, runaway part counts per partition, and rejected inserts, and those live in system tables like system.metrics, system.events, system.replicas, and system.parts. Any tool that does not read those tables out of the box is giving you generic host monitoring with a ClickHouse logo on it.

The second mistake is assuming the built-in tooling is enough. ClickHouse ships a /dashboard UI, a Prometheus endpoint on port 9363, and HTTP health endpoints, and ClickHouse Cloud adds Query Insights and an Advanced Observability dashboard. Those visualize; they do not alert, correlate, or retain fleet history. You still need a monitoring layer on top.

Three dimensions decide the outcome of this purchase:

Resolution. Per-second collection catches merge storms and insert spikes that 30-second scrapes and minute-level polling smooth into invisibility. This is the sharpest differentiator in the category.
ClickHouse-specific alerting. Replication lag, max part count per partition, delayed inserts, long-running queries: either the tool ships these rules or you write them yourself.
Query-level analysis. system.query_log is the source of truth for per-query performance. Most tools skip it entirely; a few (Datadog DBM, SigNoz) ingest it.

We do not quote competitor list prices in this guide. Pricing pages change, and a stale dollar figure is worse than none. Instead we describe each vendor’s pricing shape (per-host, per-metric, per-GB, per-monitor) and what makes the bill grow, and we link every official pricing page — including our own — so you can pull current numbers. For hands-on configuration walkthroughs, our ClickHouse operator guides cover the metrics and alert thresholds that matter in production.

We assembled the shortlist from tools with documented ClickHouse support: official integrations, maintained collectors or templates, or first-party endpoints. Every tool on this page can collect real ClickHouse metrics today; tools with only generic database checks were excluded.

The criteria below are weighted toward what differentiates tools in production rather than on a feature matrix. Coverage depth and resolution carry the most weight because they determine whether you catch a merge backlog at 2 a.m. or read about it in a postmortem. Pricing is evaluated as shape (what the meter runs on) rather than sticker price, because list prices change and fleet economics matter more than entry tiers.

Tester credit

Compiled by the Netdata team - Updated August 12, 2026

Sources verified

Scoring criteria

ClickHouse coverage depth 25%
ClickHouse-specific metrics, alerts, and query_log capabilities shipped out of the box.
Data resolution and real-time visibility 20%
Per-second collection versus 10-60s scrapes versus minute-level polling.
Alerting and anomaly detection 15%
Prebuilt ClickHouse alert rules and ML anomaly detection versus DIY.
Deployment and operational cost 15%
Setup effort, self-hosted versus SaaS, and what makes the bill grow.
Ecosystem and integrations 10%
ClickHouse Cloud, Keeper/ZooKeeper, Kubernetes, Grafana, OpenTelemetry fit.
Scalability and retention 10%
Long-term retention, fleet scale, storage efficiency, cardinality handling.
Vendor credibility and maintenance 5%
Active development, official support, community size.

Vendor 01 / 10 · #netdata

Netdata

Per-second ClickHouse monitoring with ML anomaly detection, ClickHouse-specific alerts out of the box, and per-node pricing with unlimited metrics.

Best for

DBAs and SREs who want per-second visibility into ClickHouse without per-GB or per-metric metering
Teams that want ML anomaly detection and ClickHouse-specific alerts (replication lag, rejected inserts, part count) working immediately
Fleets on bare metal, VMs, or Kubernetes where a 60-second zero-config install matters

Pricing

Per-node pricing: one price per node with unlimited metrics, logs, users, and retention; no per-GB or per-metric metering
Netdata Cloud Business starts at $4.50/node/month on annual plans, and the per-node price decreases as node count grows
Free Cloud tier for small fleets; agents are open source (AGPL) and remain free
The bill grows with the number of concurrently running agents (p90 over the month), not with metric or log volume

Pros

Per-second collection (1s default) via the go.d.plugin, querying ClickHouse system tables over the HTTP interface
10+ ClickHouse-specific alerts: replication lag, rejected inserts, delayed inserts, long-running queries, max part count per partition, read-only replicas, distributed connection failures
Unsupervised ML anomaly detection on every metric, with an Anomaly Advisor for root-cause work
60-second install with auto-discovery of ClickHouse on localhost:8123; zero configuration
Unlimited metrics, logs, and retention per node; containers on a monitored host included at no extra cost
Fleet-wide view via Netdata Cloud with per-node grouping and alert correlation

Where teams pair it

The collector targets self-hosted ClickHouse over the HTTP interface; ClickHouse Cloud users get more from the built-in Query Insights and Advanced Observability dashboards
Query-level forensics (slow-query attribution over weeks) is not part of the collector; teams doing that pair it with ClickHouse’s own system tables or a query-analytics tool

Verdict

Netdata leads this category because it is the only tool combining per-second collection with ClickHouse-specific alerts that work on day one. Merge storms, replication lag spikes, and insert rejections are exactly the events that 30-second scrapes flatten into noise, and Netdata catches them at 1-second resolution with ML flagging the metrics that actually moved. The economics also favor ClickHouse fleets: high-cardinality metrics cost nothing extra. The honest caveat is query-level analysis: Netdata alerts on long-running queries and tracks latency, but per-query forensics from system.query_log require SQL or a paired tool.

Start free -> See database monitoring ->

Vendor 02 / 10 · #prometheus-grafana

Prometheus + Grafana

The de facto open-source stack for scraping ClickHouse’s built-in Prometheus endpoint and visualizing it with community dashboards.

Best for

Teams already standardized on Prometheus and PromQL
Operators who want community dashboards (Grafana dashboards 14192 and 13500) with Alertmanager-based alerting
Grafana users who want to query ClickHouse directly via the Altinity-maintained datasource plugin

Pricing

Prometheus and Grafana OSS are open source and self-hosted: you run and operate the scraper, TSDB, and dashboards yourself, and that operational cost is real
Grafana Cloud is usage-based: billed on active series, GB of logs and traces ingested, and host hours
The Grafana Cloud bill grows with cardinality and volume; a free tier exists with limited series, ingestion, and retention

Pros

ClickHouse ships a built-in Prometheus endpoint (port 9363, since 22.4) exposing system.metrics, system.events, system.asynchronous_metrics, and errors
Altinity-maintained Grafana datasource plugin for ClickHouse with SQL macros and template variables; over 2M downloads in 2025 per CubeAPM
Large ecosystem of prebuilt dashboards, alert rules, and exporters; Alertmanager handles routing and deduplication
Grafana Cloud offers a hosted path for ClickHouse monitoring via the direct plugin or Prometheus scraping

Cons

Metrics-only: Prometheus scraping does not cover system.query_log, so query-level analysis needs separate tooling
You assemble and operate the entire stack yourself: scraper, TSDB, retention, alerting, dashboards
Default scrape intervals (commonly 10-60s) are far coarser than per-second collection
Grafana alone is a visualization layer; alerting requires a metrics backend such as Prometheus or Mimir

Verdict

This is the stack most ClickHouse operators already know, and ClickHouse meeting it halfway with a native Prometheus endpoint makes adoption nearly frictionless. The Altinity plugin is genuinely excellent for ad-hoc SQL against system tables. What you give up is resolution (scrapes, not per-second streams) and time: someone on your team owns the TSDB, retention, and alert rules forever. If you already run Prometheus well, this is the path of least resistance; if you do not, budget for the operational burden.

Read full Netdata vs Prometheus -> Grafana pricing ->

Vendor 03 / 10 · #datadog

Datadog

SaaS observability platform with an official ClickHouse Agent integration and Database Monitoring for query-level visibility.

Best for

Organizations already running Datadog that want ClickHouse inside the same platform
Teams needing query-level visibility via Database Monitoring for ClickHouse
ClickHouse Cloud users (Datadog and ClickHouse announced a partnership in 2026)

Pricing

Usage-based SaaS: per-host infrastructure monitoring, per-custom-metric, per-GB log ingestion, and per-database-host Database Monitoring
The bill grows with host count, custom metric cardinality, log volume, and database hosts
Database Monitoring is an additional per-database-host line item on top of infrastructure monitoring

Pros

Official Agent integration queries ClickHouse system tables directly, with cluster awareness via clusterAllReplicas
Database Monitoring for ClickHouse adds query performance views (announced 2026)
Correlates ClickHouse metrics with ZooKeeper/Keeper, host, and network data in one UI
Hundreds of ClickHouse metrics covering caches, replication queues, parts, merges, IO, Kafka, S3, and Keeper

Cons

Per-host plus per-metric plus per-GB pricing can grow quickly for high-cardinality ClickHouse fleets
SaaS-only: telemetry leaves your network
Query-level visibility costs extra per database host
Agent-based collection adds overhead on monitored hosts

Verdict

Datadog has the deepest commercial ClickHouse coverage on this list: server metrics from system tables plus genuine query-level analysis through DBM, which most competitors simply do not offer. For ClickHouse Cloud users the documented integration path is a real advantage. The trade-off is the meter. ClickHouse emits a lot of metrics, and per-custom-metric pricing plus per-database-host DBM means a large cluster can become a line item your CFO asks about. Model the cost at your actual cardinality before committing.

Read full Netdata vs Datadog -> Datadog pricing ->

Vendor 04 / 10 · #clickstack

ClickStack

ClickHouse’s own open-source observability stack (HyperDX UI on ClickHouse storage) for logs, metrics, traces, and session replays.

Best for

ClickHouse-centric teams that want one stack for OpenTelemetry logs, metrics, and traces
Organizations replacing ELK-style stacks with a columnar observability backend
ClickHouse Cloud users who want the managed version

Pricing

Open source and self-hosted: you run and operate ClickHouse, the OpenTelemetry Collector, and the HyperDX UI yourself
Managed ClickStack runs on ClickHouse Cloud; the bill grows with ClickHouse Cloud compute and storage usage
Licenses: ClickHouse and OTel Collector under Apache 2.0, HyperDX UI under MIT

Pros

First-party project from ClickHouse Inc (HyperDX acquired March 2025)
Unifies logs, metrics, traces, and session replays with sub-second queries at petabyte scale
The ClickStack UI connects directly to ClickHouse system tables with ClickHouse-focused dashboards
Vendor claims 10-100x cost savings versus ELK-style stacks

Cons

Young project; the HyperDX acquisition and ClickStack launch are recent (2025)
Primarily an observability platform for your applications, not a dedicated ClickHouse server monitor
Self-hosted mode means operating ClickHouse plus the collector plus the UI
Monitoring ClickHouse itself relies on system-table dashboards rather than purpose-built ClickHouse alerting

Verdict

ClickStack is the most interesting project here, but read its purpose carefully: it is an observability platform built on ClickHouse for your application telemetry, not a monitor for ClickHouse server health. Its ClickHouse integration is real (direct system-table dashboards), and the first-party pedigree means it will track ClickHouse releases better than anyone. For watching the database itself, though, you still get dashboards more than alerting, and the project is young enough that production hardening is ahead of it. Adopt it for application observability; pair it with something on this list for the server.

Visit ClickStack -> ClickHouse monitoring docs ->

Vendor 05 / 10 · #zabbix

Zabbix

Open-source enterprise monitoring platform with an official agentless ClickHouse-by-HTTP template.

Best for

Enterprises already standardized on Zabbix for IT infrastructure monitoring
Teams wanting agentless HTTP-based ClickHouse checks alongside servers, networks, and applications

Pricing

Open source and self-hosted (AGPLv3 since version 7.0): no license fees, but you run and operate it
Commercial support subscriptions (Silver, Gold, Platinum) priced by support coverage and server/proxy count
Zabbix Cloud SaaS is also available, billed by monitored metrics volume

Pros

Official ClickHouse by HTTP template requires no external scripts and collects most metrics in one pass
Agentless monitoring through the ClickHouse HTTP interface
Mature alerting, escalation, reporting, and distributed monitoring via proxies
ClickHouse can also serve as Zabbix’s history backend in Zabbix 8.0

Cons

Template covers server-level metrics; no query-level analysis of system.query_log
Default polling is coarse (typically 1 minute or more) versus per-second collection
Template, trigger, and maintenance setup is manual and configuration-heavy
UI and configuration model feel dated compared with modern observability tools

Verdict

If your organization already runs Zabbix, the official ClickHouse template is a legitimate reason to stay put: agentless, no scripts, decent metric coverage in one pass. The integration is better maintained than most template ecosystems manage. But the architectural ceiling is real. Minute-level polling will miss the transient merge and insert events that cause ClickHouse incidents, and there is no query_log path. Zabbix monitors ClickHouse adequately as one asset among thousands; it does not give a ClickHouse operator the resolution the database deserves.

Read full Netdata vs Zabbix -> Zabbix subscriptions ->

Vendor 06 / 10 · #victoriametrics

VictoriaMetrics

High-performance Prometheus-compatible time-series database commonly used to store ClickHouse metrics at scale.

Best for

Teams outgrowing Prometheus retention and cardinality limits
ClickHouse fleets needing long-term metric retention with lower RAM and disk than Prometheus
PromQL users who want a drop-in replacement with cluster mode

Pricing

Open-source community edition (Apache 2.0), self-hosted: you run and operate it
Enterprise edition is commercial, adding downsampling, anomaly detection, and support
VictoriaMetrics Cloud is SaaS billed by usage (metrics volume and retention)

Pros

Drop-in Prometheus-compatible scraping of ClickHouse’s built-in /metrics endpoint
Lower resource use than Prometheus for equivalent retention, per vendor claims
Cluster mode and downsampling for large fleets; vmalert for alerting
Recommended alongside Grafana for ClickHouse monitoring in practitioner guides such as Severalnines

Cons

Metrics-only: no query-level log analysis and no ClickHouse-specific dashboards of its own
You operate it; dashboards and alert rules must be assembled
Enterprise features such as downsampling and anomaly detection are paywalled
Smaller ecosystem than Prometheus

Verdict

VictoriaMetrics solves a specific problem well: your ClickHouse metrics outgrew a single Prometheus box. It scrapes the same endpoint, speaks PromQL, and holds retention longer on less hardware. Understand that it is a storage and scraping layer, not a monitoring product: visualization means Grafana, and ClickHouse-specific alert rules are yours to write. For large fleets with long retention requirements it is often the right backend; for a team wanting answers out of the box, it is a component, not a solution.

Read full Netdata vs VictoriaMetrics -> VictoriaMetrics plans ->

Vendor 07 / 10 · #sematext

Sematext

SaaS monitoring and log management with an official ClickHouse integration covering metrics, logs, dashboards, and alerts.

Best for

Teams wanting hosted ClickHouse monitoring without running Prometheus and Grafana
Teams that want ClickHouse metrics and server logs correlated in one SaaS platform

Pricing

Usage-based SaaS: per-host for infrastructure monitoring, per-agent for service monitoring, per-GB for log ingestion
The bill grows with host count, log volume, retention, and plan tier
Free tier and 14-day trial available

Pros

Official ClickHouse integration with 70+ ClickHouse-related metrics, dashboards, and alert rules
Auto-discovery of ClickHouse instances via an open-source monitoring agent
Threshold, anomaly detection, and server-health alerting with many notification channels
Metrics and logs in one place, including ClickHouse server logs

Cons

SaaS-only: telemetry leaves your network
Per-host plus per-GB pricing grows with fleet size and log volume
No query-level database monitoring comparable to Datadog DBM
Smaller ecosystem and fewer ClickHouse-specific integrations than larger platforms

Verdict

Sematext is the pragmatic middle path: more ClickHouse-specific than assembling Prometheus yourself, lighter than Datadog, and it correlates metrics with ClickHouse server logs in one UI. Seventy-plus metrics with prebuilt alerts covers the operational basics without a DIY phase. What it lacks is depth at both ends: no query_log analytics and no per-second resolution, with agent polling in the tens-of-seconds range. For a small team that wants hosted coverage without building anything, it earns its spot; heavy ClickHouse shops will outgrow it.

Visit Sematext -> Sematext pricing ->

Vendor 08 / 10 · #signoz

SigNoz

Open-source APM and observability platform (built on ClickHouse) with a ClickHouse integration for metrics, server logs, and query logs.

Best for

Teams wanting an open-source APM that also ingests ClickHouse metrics and query logs
ClickHouse-native shops that want to dogfood ClickHouse as the observability backend

Pricing

Open-source community edition (MIT Expat), self-hosted: you run and operate SigNoz and its ClickHouse backend
SigNoz Cloud is SaaS billed by ingestion volume (per-GB logs and traces, per-metric samples)
The bill grows with telemetry volume

Pros

Official ClickHouse integration via the OTel Collector: Prometheus metrics, server logs, and system.query_log collection
Out-of-the-box ClickHouse monitoring dashboard and query-log aggregation
Runs on ClickHouse itself, so ClickHouse-fluent teams get a familiar backend
MIT-licensed community edition

Cons

Primarily an APM for your applications; ClickHouse monitoring is one integration among many
Self-hosted means operating SigNoz plus its own ClickHouse storage
Query-log scraping adds load on the monitored ClickHouse and must run on a single collector instance to avoid duplicates
Community edition UI is less polished than commercial platforms

Verdict

SigNoz earns its rank on one capability almost nobody else open-sources: system.query_log ingestion for genuine per-query analysis, alongside metrics and server logs. There is also a pleasant symmetry in monitoring ClickHouse with a tool stored in ClickHouse. The caveats are operational. It is APM-first, so ClickHouse server health is a side quest, and the query-log collector adds measurable load on the production database it watches. If query forensics are your priority and you accept running the stack, SigNoz is the open-source answer; for server-level health alerting, pair it with something higher on this list.

Read full Netdata vs SigNoz -> SigNoz pricing ->

Vendor 09 / 10 · #manageengine

ManageEngine Applications Manager

IT operations and application performance platform with a dedicated ClickHouse monitor for health and performance.

Best for

IT operations teams that want ClickHouse monitoring inside a broader APM/ITOM suite
On-premise-first organizations

Pricing

Perpetual or annual subscription licenses priced by number of monitors and users
Editions: Free (limited monitors), Professional, Enterprise
The bill grows with monitor count, user count, and add-ons such as APM agents, RUM page views, and log size

Pros

Dedicated ClickHouse monitor collecting key performance metrics across multiple areas
Agentless monitoring integrated with broader server, application, and network monitoring
Alerting, reports, and dashboards in a single IT operations console

Cons

ClickHouse coverage is server-level metrics; no query-level analysis of system.query_log
Per-monitor licensing adds up across large ClickHouse clusters
UI and configuration are dated compared with modern observability tools
Polling-based collection at minute-level granularity

Verdict

Applications Manager is a generalist IT operations suite that happens to include a real ClickHouse monitor, and for on-premise shops already licensing ManageEngine that is convenient. The ClickHouse coverage stops at server-level key metrics, though, and minute-level polling puts it in the same resolution class as Zabbix without the open-source price tag. Per-monitor licensing also punishes exactly the topology ClickHouse encourages: many nodes, many replicas. It is a reasonable checkbox for an existing ManageEngine estate, not a tool you would buy for ClickHouse alone.

Read full Netdata vs ManageEngine -> ManageEngine pricing ->

Vendor 10 / 10 · #site24x7

Site24x7

Cloud-based monitoring platform with a ClickHouse plugin for read/write performance and query rates.

Best for

Teams wanting SaaS ClickHouse monitoring alongside website, server, and cloud monitoring
Small-to-medium ops teams that want quick onboarding without self-hosting

Pricing

SaaS subscription tiers billed by monitor licenses (basic, advanced, and host monitors)
The bill grows with monitor count, polling frequency, add-ons, RUM page views, and log storage
Monthly or annual billing; hourly billing for some resource types

Pros

Official ClickHouse plugin monitoring read/write performance and Insert/Select query rates per instance
Agent-based plugin from the official Site24x7 plugins repository
Broad platform: uptime, infrastructure, APM, and logs in one SaaS

Cons

Plugin-based coverage is narrower than dedicated ClickHouse integrations
No query-level analysis of system.query_log
Per-monitor licensing and polling-frequency multipliers increase cost as you scale
Polling intervals are coarse (minute-level)

Verdict

Site24x7’s ClickHouse support is a plugin, and it monitors like one: read/write rates and query throughput at minute-level intervals, inside a broad SaaS suite built for uptime and infrastructure monitoring. That is fine if ClickHouse is one workload among many and you value consolidated billing with your website and cloud checks. It is thin for serious ClickHouse operations: no merge or replication depth beyond basics, no query_log, and per-monitor economics that discourage fleet-wide rollout. Ranked last because every tool above it covers ClickHouse with more depth.

Read full Netdata vs Site24x7 -> Site24x7 pricing ->

Frequently Asked Questions

What is the best ClickHouse monitoring tool?

Netdata ranks first for ClickHouse monitoring because it combines per-second collection with ClickHouse-specific alerts (replication lag, rejected inserts, part count) and ML anomaly detection, all at per-node pricing with unlimited metrics. Prometheus + Grafana is the best open-source option for teams already invested in that stack, Datadog offers the deepest commercial coverage with Database Monitoring for query-level analysis, and SigNoz is the strongest open-source choice for query_log ingestion. The right pick depends on whether you prioritize resolution, open-source licensing, query forensics, or platform consolidation.

How do I monitor ClickHouse?

ClickHouse exposes monitoring data through system tables: system.metrics, system.events, system.asynchronous_metrics, system.query_log, system.replicas, and system.parts. It also ships a built-in Prometheus endpoint on port 9363. Nearly every tool wraps these sources: Netdata collects from system tables at per-second resolution with ML anomaly detection, Prometheus + Grafana scrape the endpoint and visualize it, Datadog uses its Agent plus Database Monitoring, and Zabbix offers an agentless HTTP template. Resolution matters more than most buyers expect: per-second collection catches events that 10-60 second scrapes and minute-level polling average away.

Does ClickHouse have built-in monitoring?

Yes. ClickHouse ships a built-in observability dashboard at /dashboard, the system tables, a Prometheus /metrics endpoint, and HTTP health endpoints /ping and /replicas_status. ClickHouse Cloud adds Query Insights and an Advanced Observability dashboard with node-level metrics. The built-in pieces visualize but do not alert, so you still need an external tool for alerting and long-term retention. ClickStack is ClickHouse’s recommended observability stack for logs, metrics, and traces.

What metrics should I monitor in ClickHouse?

Focus on five areas. Query workload: running queries, query rate and latency, long-running and failed queries. Merges and mutations: merge queue depth, merge memory, stuck mutations. Replication: replication lag, queue length, read-only replicas, and Keeper/ZooKeeper health. Parts: parts per partition (warning above roughly 300, inserts stop around 1000) and detached parts. Resources: memory, mark and uncompressed caches, disk space, IO, and network.

How do I monitor ClickHouse with Prometheus and Grafana?

Enable ClickHouse’s built-in Prometheus endpoint on port 9363 (available since version 22.4), or use the legacy clickhouse_exporter on older versions. Scrape it with Prometheus or VictoriaMetrics and route alerts through Alertmanager. For visualization, use Grafana with the Altinity-maintained ClickHouse datasource plugin or community dashboards such as 14192 and 13500. Remember that Prometheus covers metrics only; query-level analysis requires separate tooling around system.query_log.

How do I monitor ClickHouse Cloud?

ClickHouse Cloud includes built-in Query Insights and an Advanced Observability dashboard with node-level CPU, memory, disk, and network metrics. A Prometheus-compatible metrics endpoint is available at organization and per-service level, with a filtered_metrics option to reduce payload size. External tools integrate via OpenMetrics or OpenTelemetry, and Datadog and Grafana are documented paths. One caution: querying system tables directly adds load and prevents instances from idling, which affects your compute bill.

What is ClickStack?

ClickStack is ClickHouse’s open-source observability stack: the HyperDX UI on ClickHouse storage, fed by the OpenTelemetry Collector. It unifies logs, metrics, traces, and session replays with sub-second queries. ClickHouse and the OTel Collector are Apache 2.0 licensed and the HyperDX UI is MIT. A managed version runs on ClickHouse Cloud; self-hosted means you operate the whole stack. Note that it is application observability built on ClickHouse, not primarily a monitor for ClickHouse server health.

How do I monitor ClickHouse query performance?

system.query_log is the source of truth for per-query data: latency, rows and bytes processed, errors, and query text. Datadog Database Monitoring for ClickHouse provides query-level views commercially, and SigNoz collects query logs through its OTel Collector integration. Netdata alerts on long-running queries and tracks query latency but does not ingest query_log. Whichever path you choose, watch P95 query duration, failed query rate, read amplification, and concurrent query counts.

What is the best open-source ClickHouse monitoring tool?

Prometheus + Grafana is the de facto standard, thanks to ClickHouse’s built-in endpoint, the mature Altinity plugin, and a huge community. Zabbix offers an official agentless ClickHouse template inside an enterprise platform. Netdata’s open-source agent gives per-second collection, ML anomaly detection, and ClickHouse-specific alerts, with a free Cloud tier for small fleets. VictoriaMetrics is the scalable Prometheus-compatible storage layer, SigNoz adds query-log collection, and chmonitor is a niche open-source operational advisor. The trade-offs are resolution, alerting depth, and how much of the stack you want to operate yourself.

Is ClickHouse good for storing monitoring data?

Yes, and this confuses many buyers because it runs in two directions. ClickHouse is the storage backend for SigNoz, Zabbix 8.0 history, ClickStack, and many observability platforms; columnar compression and query speed make it cost-efficient for high-volume telemetry. That is using ClickHouse to store observability data. This guide covers the other direction: monitoring ClickHouse itself, which requires tools that read its system tables and Prometheus endpoint.

The 10 best ClickHouse monitoring tools, ranked

How we evaluated ClickHouse monitoring tools

Netdata

Prometheus + Grafana

Datadog

ClickStack

Zabbix

VictoriaMetrics

Sematext

SigNoz

ManageEngine Applications Manager

Site24x7

Frequently Asked Questions

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