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Build ClickHouse dashboards for product events, logs, and high-volume analytics

Connect ClickHouse to Chartbrew and turn analytical tables, SQL queries, time-series events, logs, product usage, and operational metrics into live dashboards.

Reports / ClickHouse

Event analytics

Report date range
Filter by application
Sample data

Events captured

Jan – Jun 2026

1,034,000

Sessions

Jan – Jun 2026

96,900

Purchase events

Jan – Jun 2026

4,940

Error events

Jan – Jun 2026

2,390

Events captured

Jan – Jun 2026
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Events captured by application

Jan – Jun 2026
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ClickHouse · application breakdown

ApplicationEvents capturedSessionsPurchase eventsError events
Web app517,00048,4502,4701,195
Mobile app310,20029,0701,482717
Public API206,80019,380988478
Open source
Unlimited connections
AI assistant
Scheduled snapshots
Embeds

What You Can Track

ClickHouse metrics for fast analytical reporting

Use Chartbrew to visualize the high-volume event, log, and metric tables that ClickHouse is built to query quickly.

Event volume

Chart product events, log lines, or telemetry records by minute, hour, day, or week.

User behavior

Track active users, feature adoption, retention signals, and customer-level product usage.

Operational metrics

Report on latency, success rates, error classes, jobs, and infrastructure activity.

Funnels and cohorts

Use SQL to shape event data into conversion, retention, and cohort dashboards.

Top dimensions

Break down events by customer, source, endpoint, country, campaign, or custom dimension.

Live tables

Create drill-down tables for recent errors, sessions, events, and outliers.

How It Works

From ClickHouse connection to live dashboard

The ClickHouse workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.

  • Connect ClickHouse

    Add your ClickHouse host, database, user, password, port, and TLS settings in Chartbrew.

  • Inspect tables and fields

    Use your schema, tables, columns, and joins to decide which reporting datasets should power the dashboard.

  • Build reusable datasets

    Write queries for KPIs, trends, breakdowns, and tables that can be reused across dashboards and clients.

  • Share live reporting

    Publish dashboards, embed charts, and send scheduled snapshots to keep stakeholders aligned.

Why Chartbrew for ClickHouse

Fast dashboards on top of ClickHouse analytics data

Chartbrew adds shareable dashboards, AI-assisted queries, scheduled refreshes, and embedded reports to ClickHouse-backed datasets.

Native ClickHouse connection

Use Chartbrew as a reporting layer on top of ClickHouse without exporting tables into a separate spreadsheet workflow.

Schema-aware reporting

Build datasets from tables, fields, joins, and query results so charts stay grounded in the structure of your data.

AI-assisted queries

Use Chartbrew AI to draft dataset ideas and query starting points when you want to move faster from schema to chart.

Scheduled refreshes

Keep dashboards up to date with automatic refresh schedules for daily, weekly, monthly, or operational reporting.

Secure sharing

Share dashboards, embedded reports, and snapshots without giving every stakeholder direct database access.

Multiple sources together

Place database metrics beside API, analytics, product, customer, payment, and project management data.

Setup Requirements

Connect ClickHouse

A ClickHouse database reachable from Chartbrew

Host, port, database name, user, password, and TLS settings

A read-only user with access to reporting tables

Known event, log, or metric tables for the first datasets

Time fields and dimensions for trend charts, filters, and breakdowns

Example datasets

Dataset ideaWhat it can power
Events over timeEvent volume grouped by time bucket
Active usersDistinct users or accounts over daily, weekly, or monthly windows
Errors by typeError events grouped by class, endpoint, or service
Latency percentilesp50, p95, or p99 latency from request or job tables
Top customersAccounts ranked by event volume, usage, or revenue-linked activity
Feature adoptionUsage events grouped by feature name
Recent outliersLatest errors, slow jobs, or anomalous events
Funnel conversionStep-by-step conversion from event tables

Setup Guide

Follow the ClickHouse visualization guide

Use the walkthrough to connect ClickHouse, write the first SQL dataset, and create a dashboard for analytical data.

Read guide

Related Integrations

Related data sources

Blend ClickHouse metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.

FAQ

ClickHouse integration questions

Practical details about using ClickHouse data in Chartbrew dashboards.

Build your ClickHouse dashboard

Turn ClickHouse analytics tables into live reporting dashboards

Connect ClickHouse, write reusable SQL datasets, and share event, log, product, and operational dashboards.

Get started for free