ClickHouse Integration

ClickHouse Data Integration — Fast Analytics Bridge

Connect ClickHouse and let AI agents query billions of marketing events, run attribution models, and analyze campaign performance in real-time.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to ClickHouse
Show me query performance for the last 7 days across all ClickHouse clusters.
Your top cluster processed 2.4 billion rows with an average query time of 0.8 seconds. The analytics cluster shows 15% slower performance compared to last week, with 3 queries exceeding 10 seconds.
Optimize the slowest queries and add compression to the events table.
I've rewritten 3 queries using materialized views, reducing execution time by 67%. Compression applied to events table will save 340GB storage and improve scan speed by 40%.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
ClickHouse Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

High-speed marketing data integration for ClickHouse

Improvado extracts marketing data from 500+ platforms and loads it into ClickHouse using optimized bulk insert operations. The platform leverages ClickHouse's columnar architecture for maximum ingestion speed and query performance. Data refreshes complete in minutes rather than hours, even for large datasets with millions of marketing events. Native ClickHouse data types and compression optimize storage and query execution.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the ClickHouse API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor ClickHouse through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Normalized data optimized for ClickHouse analytics

Improvado's Marketing Common Data Model (MCDM) structures marketing data specifically for ClickHouse's analytical strengths. Campaign metrics from different platforms use consistent schemas optimized for aggregation queries. The normalization process creates ClickHouse tables with proper sorting keys and partitioning for sub-second query response times. Marketing teams can analyze billions of events across platforms without performance degradation.

ClickHouse HTTP/Native API · username/password · 15-min sync · incremental + full
Schema Overview

Data objects and fields Improvado extracts from ClickHouse

Object Fields
Mode
full refresh incremental append-only
Latency
real-time 15-min hourly
Schema
CDM normalized raw passthrough custom mapping
Destination
MergeTree tables views materialized views
Supports
ReplicatedMergeTree distributed tables native protocol
How it works

From connection to autonomous action in three steps

1

Connect

Connect via native TCP protocol or HTTP interface using database credentials. The agent secures connection details and validates cluster topology, supporting both single-node and distributed ClickHouse deployments.

2

Ask

Ask questions like 'Which queries are consuming the most memory?' or 'Show me table compression ratios and recommend optimization strategies for tables over 500GB.'

3

Act

The agent optimizes query patterns, creates materialized views for frequently accessed aggregations, adjusts table compression codecs, rebuilds indexes, and modifies TTL policies to improve performance and reduce storage costs.

Use Cases

What teams ask their AI agent about ClickHouse

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Analyze real-time campaign performance across all channels with sub-second ClickHouse queries

Your AI agent analyzes ClickHouse data and delivers actionable insights — automatically, in seconds.

5 min → 2 sec
A
Improvado Agent Cross-channel

Process billions of marketing events for attribution modeling in ClickHouse analytical engine

Your AI agent analyzes ClickHouse data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate hourly marketing reports from ClickHouse with automatic data refresh and aggregation

Your AI agent analyzes ClickHouse data and delivers actionable insights — automatically, in seconds.

4 hrs → 10 min
AI Agent Access

Your agent doesn't just read ClickHouse — it processes billions of events

Read

Reads cluster metrics, query logs, table schemas, partition details, compression ratios, memory usage, disk I/O statistics, replication lag, merge performance, and data distribution across shards.

Write

Creates and modifies materialized views, adjusts table engines and compression settings, optimizes partition keys, rebuilds indexes, configures TTL policies, and rewrites queries for better performance.

Monitor

Monitors query execution times, memory consumption spikes, disk space utilization, replication delays, failed merges, slow queries exceeding thresholds, and table growth rates that may impact cluster performance.

The AI agent runs sub-second queries on campaign impressions, clicks, and conversions from 500+ platforms stored in ClickHouse. It analyzes attribution across Google, Facebook, and email touchpoints by processing event-level data at scale. The agent monitors hourly performance trends, detects budget pacing issues, and calculates real-time ROI across all marketing channels.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · ClickHouse
You
Show me table sizes and query performance across all databases
A
Database Performance
Table Rows Performance
orders.transactions 1.2B rows +340% growth
analytics.events 890M rows 0.6s avg query
inventory.stock 45M rows -15% query time
customers.profiles 12M rows 1.2s avg query
logistics.shipments 8M rows +22% efficiency
5 tables · 2.1B total rows · 0.9s avg query time
You
Create a materialized view for daily order aggregations
A
Materialized view created
Query time reduced by 78%
Destinations

Send ClickHouse data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with ClickHouse as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How fast can Improvado load data into ClickHouse?
Improvado uses ClickHouse's native bulk loading capabilities to insert millions of marketing records per minute. The exact speed depends on your ClickHouse cluster configuration and network connectivity.
Does Improvado optimize ClickHouse table structures for marketing data?
Yes, Improvado creates ClickHouse tables with optimized sorting keys, partitioning, and compression settings for marketing analytics. Tables are structured to support common aggregation and filtering patterns.
Can Improvado work with ClickHouse Cloud and self-hosted installations?
Improvado supports both ClickHouse Cloud and self-hosted ClickHouse clusters. The platform adapts connection methods and optimization strategies based on your specific ClickHouse environment.
What ClickHouse data types does Improvado use for marketing metrics?
Improvado maps marketing data to appropriate ClickHouse types including Float64 for metrics, DateTime for timestamps, and String for dimensions. The platform also uses ClickHouse-specific types like LowCardinality for better performance.
How does Improvado handle ClickHouse replication and sharding?
Improvado works with ClickHouse distributed tables and automatically distributes data across shards. The platform respects your existing replication configuration and cluster topology.
Can I query Improvado data using ClickHouse SQL syntax?
Yes, all marketing data appears as standard ClickHouse tables supporting full SQL syntax including ClickHouse-specific functions. You can use any ClickHouse client or visualization tool to query the data.