# ClickHouse analytics. One conversation.

Connect to your ClickHouse cluster and build real-time dashboards, log analysis, and scheduled reports — just by asking.

## Speed you can feel.

### 2.3B
rows scanned

### 0.8s
query time

### 1
message to dashboard

### ∞
no row limit

## How it works

1. **Connect your cluster**  
   Paste your connection string. Works with ClickHouse Cloud, self-hosted, or Altinity.
2. **Show me error rates by service in the last hour**  
   querying cluster...  
   Queried 2.3B rows in 0.8s
3. **Requests / sec**  
   Live  
   Last updated: 2s ago

### Real-time dashboards

Get live dashboards that auto-refresh. Share them with your team in one click.

## What analytics engineers build with camelAI.

### Real-time dashboards

Monitor requests per second, error rates, and latency across services. camelAI builds live-refreshing dashboards you can share with your team — no Grafana configuration required.

### Log analysis

Search and visualize billions of log entries. Find errors, trace request flows across services, and spot anomalies — all in one conversation. Like grep, but it understands your question.

### Event analytics

Funnel analysis, user paths, conversion metrics — on your clickstream data. Get Sankey diagrams and cohort breakdowns without writing a single GROUP BY.

### Scheduled reports

Set up cron jobs that query fresh ClickHouse data on a schedule, generate updated reports, and alert you in Slack when metrics cross a threshold.

## From query to dashboard in one message.  
Service Monitoring — ProductionLive

### Requests / sec

12,847
▲ 12% vs yesterday

### P99 Latency

142ms
▼ 8% vs yesterday

### Error Rate

0.03%
── stable

### Throughput

2.4 GB/s
▲ 5% vs yesterday

### Requests per Second (last 24h)

15k10k5k0
00:0004:0008:0012:0016:0020:00

## Built for teams who run on real-time data

Search logs...

14:02:31INFOapi-gatewayGET /v1/events 200 12ms  
14:02:32WARNpayment-svcretry attempt 2/3  
14:02:32ERRORsearch-svctimeout after 5000ms  
14:02:33INFOingest-workerbatch committed 14,291 events  
14:02:33ERRORsearch-svcconnection pool exhausted

### Real-time log analysis

Stream logs from your ClickHouse cluster and spot issues in seconds. Search, filter, and visualize error patterns — no Kibana or Grafana setup required.

### Product analytics at scale

Analyze billions of user events without waiting for batch jobs. Build funnels, cohort analyses, and engagement dashboards that query live ClickHouse data.

### What's the p99 latency for the auth service?

| service     | p50  | p99  |
|-------------|------|------|
| auth-svc   | 12ms | 142ms|
| api-gw     | 8ms  | 89ms |
| search-svc  | 45ms | 380ms|

0.8s

### Ad-hoc exploration

Skip writing SQL. Ask questions in English and get instant results from your ClickHouse data. Perfect for incident investigations and quick data checks.

### Ops dashboards

Build operational dashboards that your infrastructure team actually wants to use. Monitor system health, track SLAs, and alert on anomalies — all from ClickHouse data.

## Frequently asked questions

### Can I query ClickHouse without writing SQL?  
### How does camelAI connect to my ClickHouse cluster?  
### Is it fast enough for real-time analytics on ClickHouse?  
### Does camelAI support ClickHouse Cloud?

## What will you build on your ClickHouse data?

“Connect to our ClickHouse cluster and build a real-time dashboard showing requests per second, p99 latency, and error rates by service. Refresh every 5 minutes via cron.”

“Query the events table — 2.3 billion rows — and show me a funnel analysis: page_view → signup → first_purchase → repeat_purchase, broken down by acquisition source.”

“Analyze our clickstream data from the last 7 days. Find the top 10 user paths through the product and visualize them as a Sankey diagram.”

“Pull hourly error counts from our ClickHouse logs for the past month. Highlight anomalies and set up a cron job that alerts me in Slack when error rates spike.”

## Your data is already fast.  
Now make it useful.