clickhouse-driver (Python)

Python driver for ClickHouse using the native TCP protocol. Provides synchronous and async (asynch) interfaces for connecting to ClickHouse databases from Python. More efficient than HTTP-based clickhouse-connect for high-throughput operations. Used by data engineers, analytics engineers, and Python ML pipelines that need to query or ingest into ClickHouse.

Evaluated Mar 06, 2026 (0d ago) v0.2+

Homepage ↗ Repo ↗ Other python clickhouse olap analytics database columnar native-protocol

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

/ 100

Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality

Documentation

Error Messages

Auth Simplicity

Rate Limits

🔒 Security

TLS Enforcement

Auth Strength

Scope Granularity

Dep. Hygiene

Secret Handling

TLS support for native protocol. Username/password auth. Keep driver updated for security patches.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

Best When

You're writing synchronous Python scripts or data pipelines that need efficient ClickHouse access via the native TCP protocol with numpy/pandas support.

Avoid When

You need async-first Python, SQLAlchemy ORM, or are using ClickHouse Cloud where clickhouse-connect is the recommended official client.

Use Cases

• Query ClickHouse from Python for analytics, data exploration, and reporting with efficient native protocol connection
• Insert large volumes of data into ClickHouse from Python ETL pipelines and data transformation scripts
• Use pandas DataFrames with ClickHouse via clickhouse-driver's native numpy/pandas integration for data science workflows
• Build Python agent backends that query ClickHouse for real-time analytics and aggregated event data
• Implement Python data pipelines that write structured agent execution logs to ClickHouse for analytics

Not For

• Async Python applications preferring modern asyncio — use asynch (async wrapper) or clickhouse-connect (HTTP-based) for modern async support
• Applications requiring SQLAlchemy integration — use clickhouse-sqlalchemy or clickhouse-connect for SQLAlchemy ORM support
• Cloud-native ClickHouse environments preferring HTTP — clickhouse-connect is the official client for ClickHouse Cloud

Interface

REST API

GraphQL

gRPC

MCP Server

SDK

Yes

Webhooks

Authentication

Methods: basic_auth

OAuth: No Scopes: No

Username/password authentication via ClickHouse native protocol. Credentials in Client() constructor.

Pricing

Model: open_source

Free tier: Yes

Requires CC: No

MIT license. ClickHouse itself is Apache 2.0.

Agent Metadata

Pagination

cursor

Idempotent

Partial

Retry Guidance

Documented

Known Gotchas

⚠ Connection management is manual — the Client is not a connection pool; for concurrent Python code use separate Client instances per thread
⚠ Data types must match ClickHouse schema exactly — Python int/float/str may need explicit casting; UInt64 vs Int64 mismatches cause silent data corruption
⚠ Native protocol uses binary serialization — type errors between Python values and ClickHouse types can cause cryptic protocol errors
⚠ execute_iter() for streaming large results must be consumed fully or the connection blocks — always iterate to completion or use with block
⚠ Datetime handling requires timezone awareness — ClickHouse DateTime is UTC; naive Python datetimes may cause timezone confusion
⚠ clickhouse-driver is sync-only; for async Python use the 'asynch' wrapper which adds overhead; consider clickhouse-connect for native asyncio

Alternatives

clickhouse-rs-api questdb-api duckdb-api

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for clickhouse-driver (Python).

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Scores are editorial opinions as of 2026-03-06.