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.