--- title: "Deploy ClickHouse" description: "Fast column-oriented database for real-time analytics and data workloads." category: "Analytics" url: https://railway.com/deploy/clickhouse-railway-template --- # Deploy ClickHouse Fast column-oriented database for real-time analytics and data workloads. **[Deploy ClickHouse on Railway](https://railway.com/template/clickhouse-railway-template)** - **Creator:** INF Labs - **Category:** Analytics ## Template content ### clickhouse https://devicons.railway.com/i/clickhouse.svg - **Image:** clickhouse:latest - **Public domain:** Yes ## Documentation # Deploy and Host ClickHouse on Railway ClickHouse is a high-performance, column-oriented SQL database designed for real-time analytics, OLAP workloads, event data, observability, and large-scale analytical queries. It is optimized for fast aggregations and high-throughput ingestion, making it suitable for applications that need to analyze large datasets with low query latency. ## About Hosting ClickHouse Hosting ClickHouse on Railway provides a managed deployment environment for running a persistent analytical database without maintaining the underlying server infrastructure yourself. This template uses the official ClickHouse Docker image, exposes the HTTP interface on port `8123`, and stores database data in a persistent Railway volume mounted at `/var/lib/clickhouse`. The deployment creates a configurable database user and password at startup. It also runs ClickHouse with the permissions required to write to the Railway-mounted volume. Once deployed, applications can connect to ClickHouse over its HTTP interface or use Railway private networking for internal service-to-service communication. ## Common Use Cases * Real-time analytics and dashboards * Event, log, telemetry, and observability data * High-volume analytical queries and OLAP workloads * Product analytics and user behavior analysis * Aggregating data from application databases, queues, and APIs ## Dependencies for ClickHouse Hosting * Official `clickhouse:latest` Docker image * Persistent Railway volume mounted at `/var/lib/clickhouse` * A Railway public domain if ClickHouse must be accessed from outside the Railway project ## Getting Started 1. Deploy this template to Railway. 2. Attach a persistent volume to `/var/lib/clickhouse`. 3. Generate a Railway public domain for port `8123` if external access is required. 4. Use the generated ClickHouse credentials to connect through the HTTP interface or a ClickHouse client. 5. For services running in the same Railway project, use Railway private networking whenever possible. Example public URL: ```text https://your-clickhouse.up.railway.app ``` You can verify the deployment using the ClickHouse HTTP interface: ```bash curl \ -u "clickhouse:YOUR_PASSWORD" \ "https://your-clickhouse.up.railway.app/?query=SELECT%20version()" ``` You can also execute SQL queries directly over HTTP: ```bash curl \ -u "clickhouse:YOUR_PASSWORD" \ "https://your-clickhouse.up.railway.app/" \ --data-binary "SELECT now(), version()" ``` ## Configuration The template provides the ClickHouse connection settings during deployment. In most cases, you only need to use the generated credentials when connecting from an application or SQL client. The main connection details are: * **Host:** Your Railway public domain or private Railway hostname * **HTTP port:** `8123` * **Database:** `default` * **Username:** The ClickHouse user configured by the template * **Password:** The generated ClickHouse password Persistent data is stored at: ```text /var/lib/clickhouse ``` Do not remove or recreate the volume unless you intend to delete the ClickHouse data stored on it. ## Railway vs Local Deployment vs ClickHouse-Compatible Platforms The best deployment option depends on whether you prioritize simplicity, control, scalability, or managed database features. | Option | Best for | Advantages | Trade-offs | | --------------------------------------------------------- | -------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- | | **ClickHouse on Railway using this template** | Developers and teams that want a fast, flexible deployment | Simple Docker-based deployment, persistent volumes, private networking, easy integration with other Railway services, and straightforward scaling of the service | You are still responsible for database operations such as backups, upgrades, monitoring, and capacity planning | | **Local ClickHouse with Docker or a native installation** | Development, testing, and experimentation | Full control, no hosting cost, fast local access, and easy access to local files and tools | Not suitable by itself for production availability, remote access, backups, failover, or team-wide access | | **ClickHouse Cloud** | Production analytics with managed ClickHouse operations | Managed backups, upgrades, monitoring, scaling options, and ClickHouse-focused operational tooling | Usually more expensive than self-hosting and offers less infrastructure-level control | | **Aiven for ClickHouse** | Teams that want managed ClickHouse with cloud and operational integrations | Managed service experience, support for multiple cloud regions, security features, backups, and integration with other data services | Pricing is generally higher than running a basic self-hosted instance, and available features depend on the selected plan | | **Altinity.Cloud** | Organizations that need managed ClickHouse with enterprise support | ClickHouse-focused operations, support, observability, and deployment options for production workloads | More operationally and financially oriented toward teams with production or enterprise requirements | | **Self-managed ClickHouse on a VPS or Kubernetes** | Teams that need maximum infrastructure control | Full control over networking, storage, topology, versions, and deployment architecture | Requires significant work for backups, upgrades, monitoring, security, replication, and incident response | ### When Railway Is a Good Choice Railway is a strong option when you want to: * Deploy ClickHouse from an official Docker image * Keep ClickHouse close to application services hosted on Railway * Use persistent storage without managing a virtual machine * Connect internal services through private networking * Start with a simple deployment and scale the service as usage grows * Maintain control over the ClickHouse version and container configuration ### When Local Deployment Is a Better Choice A local deployment is usually better when you are: * Learning ClickHouse * Developing queries and schemas * Testing ingestion pipelines * Working with temporary or non-production data * Building an application before choosing a production hosting provider A local instance should not be treated as a production database unless you also provide reliable storage, backups, monitoring, network security, and high availability. ### When a Managed ClickHouse Platform Is a Better Choice ClickHouse Cloud, Aiven, Altinity.Cloud, and similar services may be a better fit when you need: * Managed backups and upgrades * Built-in monitoring and operational support * Production-grade availability options * Easier scaling for large or unpredictable workloads * Dedicated support or service-level commitments * Less responsibility for database administration ## Operational Considerations ### Backups For production data, configure a backup strategy appropriate for your workload. This may include exporting data to object storage, replicating data to another ClickHouse deployment, or using ClickHouse backup tooling. ### Updates The template uses the official ClickHouse Docker image. Review ClickHouse release notes and test upgrades before applying them to production workloads. Pinning a tested image version can provide more predictable deployments than automatically tracking the latest image. ### Security Avoid exposing the ClickHouse HTTP endpoint publicly unless external access is required. When possible, use Railway private networking for application-to-database traffic. If a public domain is necessary, protect it with strong credentials and restrict access through the surrounding application or network controls. ### Scaling Railway makes it straightforward to increase the resources allocated to the service, but database scaling still requires planning. Monitor CPU, memory, disk usage, query latency, ingestion rate, and merge activity before increasing capacity or changing the ClickHouse architecture. ## Why Deploy ClickHouse on Railway? Railway provides a simple way to deploy ClickHouse alongside application services, APIs, workers, and other infrastructure. The template removes much of the initial server configuration while preserving the flexibility of a Docker-based ClickHouse deployment. By deploying ClickHouse on Railway, you can start with a practical analytical database setup, connect it to services in the same project, and scale the deployment as your workload grows. For teams that need fully managed database operations, ClickHouse Cloud or another managed ClickHouse provider may be a better fit. For development and experimentation, a local deployment is often the fastest and least expensive option. ## Similar templates - [Betterlytics](https://railway.com/deploy/betterlytics) — Betterlytics is a cookieless analytics platform GDPR-compliant. - [Finance Tracker](https://railway.com/deploy/finance-tracker-1) — Private multi-user household finance ledger with budgets and CSV import. - [Matomo Analytics + MariaDB](https://railway.com/deploy/matomo-analytics-mariadb) — Privacy-friendly analytics with MariaDB and persistent volumes. Open this page in a browser: https://railway.com/deploy/clickhouse-railway-template