Sequel
Analytics

Analyze ClickHouse data with AI

Real-time analytics on ClickHouse at any scale, in plain English.

Connect ClickHouseAll integrations

Integrations

Analyze ClickHouse alongside your other data sources

Google AnalyticsAnalytics
Google Search ConsoleSEO
PostgreSQLDatabase
MySQLDatabase
MCP ServerProtocol
BigQueryWarehouse
SnowflakeWarehouse
MongoDBDatabase
Amazon RedshiftWarehouse
TursoDatabase
MotherDuckWarehouse

What you can ask

Questions you can answer instantly

“How many events did we receive per hour yesterday?”
“What's the funnel conversion rate from signup to first purchase?”
“Show me the top 10 users by event count this week”
“Which event types have increased most in the last 7 days?”
“What's the day-1 retention rate for users who signed up last month?”
“Show me error events grouped by type for the past 24 hours”
“What's the average time between first and second order?”
“Which pages have the highest drop-off in my onboarding flow?”
Features

Time-Series & Event Analytics

Slice high-volume event data by any dimension at any granularity.

  • Query events per minute, hour, or day with time-bucket grouping
  • Filter by event type, user properties, or session context
  • Compare event rates across time periods
  • Detect spikes and anomalies in your event stream
Get started

Funnel & Retention Analysis

Understand user journeys and where engagement drops off.

  • Build conversion funnels across ordered event sequences
  • Calculate step-by-step drop-off rates
  • Segment retention curves by cohort or acquisition channel
  • Compare funnel performance across product versions
Get started

Frequently asked questions

How do I connect ClickHouse?

Click 'New Connection', select ClickHouse, and enter your host, port, database, username, and password. Sequel supports both HTTP and native interfaces.

Which ClickHouse versions are supported?

Sequel supports ClickHouse 21.x and above, including ClickHouse Cloud.

Can Sequel handle large ClickHouse tables?

Yes. Sequel adds LIMIT clauses by default and warns you before running queries that may trigger full table scans on large datasets. ClickHouse's columnar storage makes even large queries fast.

Does Sequel use ClickHouse-specific SQL features?

Yes. Sequel generates ClickHouse-compatible SQL including toStartOfHour, toDate, arrayJoin, and other ClickHouse functions when appropriate.

Can I connect ClickHouse Cloud?

Yes. Enter your ClickHouse Cloud hostname, port 8443, and credentials. Make sure to allowlist Sequel's IP in your ClickHouse Cloud instance settings.

Is my ClickHouse connection read-only?

Yes. Sequel is read-only by default and will not execute write operations unless you explicitly request them.

Analyze ClickHouse data alongside…

Google Analytics
Google Search Console
PostgreSQL
MySQL
MCP Server

Start analyzing your ClickHouse data today

Connect in minutes. No SQL. No dashboards.

Get started freeView all integrations