clickhouse-go
clickhouse-go is a Go database driver for ClickHouse, the popular open-source analytics database. It offers both a high-performance native interface and a standard database/sql interface, with support for TCP and HTTP protocols, compression, and advanced ClickHouse features like async inserts and bulk operations.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | ClickHouse/clickhouse-go |
| Owner | ClickHouse |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 3.3k |
| Forks | 663 |
| Open issues | 143 |
| Latest release | v2.47.0 (2026-06-26) |
| Last updated | 2026-07-08 |
| Source | https://github.com/ClickHouse/clickhouse-go |
What clickhouse-go is
Native Go client library using the ClickHouse binary protocol (via ch-go) for optimal performance or standard database/sql compatibility. Supports connection pooling, failover/load balancing, multiple compression algorithms (LZ4, ZSTD, Brotli, GZIP), struct marshaling, and context-based query control including telemetry and profiling.
Get the clickhouse-go source
Clone the repository and explore it locally.
git clone https://github.com/ClickHouse/clickhouse-go.gitcd clickhouse-go# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Choose between native interface (faster, ClickHouse-specific) and database/sql interface (slower, standard Go patterns) based on performance requirements and codebase constraints.
- Configure connection pool settings (MaxOpenConns, MaxIdleConns, ConnMaxLifetime) and DialTimeout appropriately for your cluster latency and workload patterns.
- Enable structured logging via log/slog for observability; Debug/Debugf methods are deprecated.
- Select compression algorithm (LZ4 default for native, gzip/deflate/br for HTTP) balancing CPU usage and network bandwidth.
- Test prepared batches and async inserts against your schema and insert volumes; benchmark both native and sql interfaces if latency is critical.
When to avoid it — and what to weigh
- OLTP transactions required — ClickHouse is optimized for analytical queries; it does not support traditional ACID transactions or row-level locking.
- Complex JOIN patterns or low-latency single-row updates — ClickHouse excels at scanning large datasets but may underperform on ad-hoc JOINs or frequent single-row mutations.
- Non-Go applications — This driver is Go-specific; other languages require separate client libraries with potentially different feature parity.
- Uncertain ClickHouse protocol version compatibility — Driver supports current ClickHouse versions per security policy but requires verification against your specific server version.
License & commercial use
Apache License 2.0 (Apache-2.0) — permissive open-source license permitting commercial use, modification, and distribution with attribution and liability disclaimers.
Apache-2.0 explicitly permits commercial use and proprietary applications. No license restrictions on derivative works or closed-source usage. Verify you retain/provide license notices as required by Apache-2.0 terms.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Strong |
| Assessment confidence | High |
TLS configuration available (ServerName, InsecureSkipVerify) for transport encryption. JWT authentication supported. Password/auth credentials passed in Options or DSN; ensure secrets are not logged or exposed (use Logger at appropriate level, avoid Debug output in production). Connection pooling is handled internally; validate ClickHouse server auth and network policies independently.
Alternatives to consider
clickhouse-driver (Go/Presto-compatible)
Alternative Go driver with different API; less actively maintained and feature-complete than clickhouse-go, but may suit specific protocol compatibility needs.
ClickHouse JDBC driver (Java-based)
If working in JVM ecosystem (Scala, Kotlin, Java); richer ORM ecosystem but requires Java runtime and different language ecosystem.
REST/HTTP API + curl/httpClient
Language-agnostic HTTP interface for ClickHouse; simpler for scripting but loses performance optimizations and requires manual query/response formatting.
Build on clickhouse-go with DEV.co software developers
Our team can help you design and optimize ClickHouse deployments with proper driver configuration, schema design, and query patterns. Let's discuss your analytics requirements.
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clickhouse-go FAQ
Should I use the native interface or database/sql interface?
What Go versions are supported?
Can I use this in production without ClickHouse expertise?
Does the driver support ClickHouse Keeper or cluster failover?
Software developers & web developers for hire
Need help beyond evaluating clickhouse-go? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source databases integrations — and maintain them long-term.
Ready to integrate ClickHouse into your Go application?
Our team can help you design and optimize ClickHouse deployments with proper driver configuration, schema design, and query patterns. Let's discuss your analytics requirements.