ClickHouse storage
ClickHouse is a columnar database designed for analytical workloads. The @mastra/clickhouse package provides storage adapters for several Mastra storage domains and is the recommended backend for production observability.
ClickHouse is most commonly used as the dedicated observability backend in a composite storage setup, with another database serving the remaining domains. It can also back the supported domains on its own through ClickhouseStore.
When to use ClickHouseDirect link to When to use ClickHouse
- Production observability for traces, logs, metrics, scores, and feedback.
- Append-heavy workloads where columnar storage and compression help keep costs down.
- Deployment platforms with ephemeral filesystems (such as Railway, Fly.io, Render, Heroku, or container schedulers) where embedded backends like DuckDB cannot persist data.
For local development, LibSQL or @mastra/duckdb are usually a better fit because they need no external service.
InstallationDirect link to Installation
- npm
- pnpm
- Yarn
- Bun
npm install @mastra/clickhouse@latest
pnpm add @mastra/clickhouse@latest
yarn add @mastra/clickhouse@latest
bun add @mastra/clickhouse@latest
You will also need a running ClickHouse server. See Hosting options for managed and self-hosted choices.
UsageDirect link to Usage
Observability with vNext (recommended)Direct link to Observability with vNext (recommended)
ObservabilityStorageClickhouseVNext is the current observability domain implementation. It uses an insert-only schema backed by ReplacingMergeTree and is optimized for the volume produced by traces, logs, metrics, scores, and feedback.
Compose it with another storage adapter so observability writes do not contend with your application data:
import { Mastra } from '@mastra/core'
import { MastraCompositeStore } from '@mastra/core/storage'
import { LibSQLStore } from '@mastra/libsql'
import { ObservabilityStorageClickhouseVNext } from '@mastra/clickhouse'
import { Observability, DefaultExporter } from '@mastra/observability'
const observabilityStore = new ObservabilityStorageClickhouseVNext({
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
})
export const mastra = new Mastra({
storage: new MastraCompositeStore({
id: 'composite-storage',
default: new LibSQLStore({
id: 'mastra-storage',
url: 'file:./mastra.db',
}),
domains: {
observability: observabilityStore,
},
}),
observability: new Observability({
configs: {
default: {
serviceName: 'mastra',
exporters: [new DefaultExporter()],
},
},
}),
})
DefaultExporter automatically selects the insert-only strategy when ClickHouse is the observability backend, which gives the highest write throughput. See tracing strategies for details.
Observability with the legacy domainDirect link to Observability with the legacy domain
ObservabilityStorageClickhouse is the original observability adapter and remains supported for projects that have not migrated to the vNext schema. The configuration shape is the same as the vNext class.
import { ObservabilityStorageClickhouse } from '@mastra/clickhouse'
const observabilityStore = new ObservabilityStorageClickhouse({
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
})
New projects should use ObservabilityStorageClickhouseVNext instead.
Full storage with ClickhouseStoreDirect link to full-storage-with-clickhousestore
ClickhouseStore implements the memory, workflows, scores, and observability domains. Use it when you want a single backend for the supported domains. For most observability deployments, the composite setup above is preferable because it isolates observability writes from primary application data.
import { Mastra } from '@mastra/core'
import { ClickhouseStore } from '@mastra/clickhouse'
export const mastra = new Mastra({
storage: new ClickhouseStore({
id: 'clickhouse-storage',
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
}),
})
Bring your own ClickHouse clientDirect link to Bring your own ClickHouse client
Pass a pre-configured client when you need custom connection settings such as request timeouts, compression, or interceptors:
import { createClient } from '@clickhouse/client'
import { ClickhouseStore } from '@mastra/clickhouse'
const client = createClient({
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
request_timeout: 60_000,
compression: { request: true, response: true },
})
const storage = new ClickhouseStore({ id: 'clickhouse-storage', client })
The same client form is accepted by ObservabilityStorageClickhouse and ObservabilityStorageClickhouseVNext.
ConfigurationDirect link to Configuration
ClickhouseStore optionsDirect link to clickhousestore-options
id:
url?:
username?:
password?:
client?:
ttl?:
disableInit?:
ClickhouseStore also accepts every option from ClickHouseClientConfigOptions (such as database, request_timeout, compression, keep_alive, and max_open_connections).
Observability domain optionsDirect link to Observability domain options
ObservabilityStorageClickhouse and ObservabilityStorageClickhouseVNext accept the same connection options as ClickhouseStore (url, username, password, or a pre-configured client).
Hosting optionsDirect link to Hosting options
ClickHouse runs anywhere you can reach it over HTTP. Two common choices:
- ClickHouse Cloud: Managed service with a free trial tier. Provides connection details directly compatible with
url,username, andpassword. - Self-hosted: Run the official
clickhouse/clickhouse-servercontainer or install from the official packages. Suitable for VPS, dedicated hardware, or Kubernetes.
For local development:
docker run -d --name mastra-clickhouse \
-p 8123:8123 -p 9000:9000 \
-e CLICKHOUSE_USER=default \
-e CLICKHOUSE_PASSWORD=password \
clickhouse/clickhouse-server
new ObservabilityStorageClickhouseVNext({
url: 'http://localhost:8123',
username: 'default',
password: 'password',
})
Deploying with Railway and similar platformsDirect link to Deploying with Railway and similar platforms
Platforms like Railway, Fly.io, Render, and Heroku run application containers on ephemeral filesystems. Embedded observability backends such as DuckDB require a writable, persistent local file, so they either lose data on restart or fail to deploy entirely on these platforms.
Use ClickHouse instead. Because ClickHouse is reached over HTTP, the same connection works from any host:
import { Mastra } from '@mastra/core'
import { MastraCompositeStore } from '@mastra/core/storage'
import { PostgresStore } from '@mastra/pg'
import { ObservabilityStorageClickhouseVNext } from '@mastra/clickhouse'
import { Observability, DefaultExporter } from '@mastra/observability'
export const mastra = new Mastra({
storage: new MastraCompositeStore({
id: 'composite-storage',
default: new PostgresStore({
id: 'pg',
connectionString: process.env.DATABASE_URL!,
}),
domains: {
observability: new ObservabilityStorageClickhouseVNext({
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
}),
},
}),
observability: new Observability({
configs: {
default: {
serviceName: 'mastra',
exporters: [new DefaultExporter()],
},
},
}),
})
Two ways to provision the database:
- Managed: Use ClickHouse Cloud. Set
CLICKHOUSE_URL,CLICKHOUSE_USERNAME, andCLICKHOUSE_PASSWORDas environment variables in your hosting platform. - Self-hosted on Railway: Add a ClickHouse service to your Railway project from the official Docker image, then reference it in the application service through Railway's private networking.
The same approach applies to other hosts with ephemeral filesystems. For application data that should also live off-host, pair this setup with a managed PostgreSQL or LibSQL/Turso instance for the default storage.
Do not point an embedded backend like DuckDB at a path inside an ephemeral container filesystem. Data written there is lost when the container restarts, and on some platforms the path is read-only.
InitializationDirect link to Initialization
When passed to the Mastra class, ClickhouseStore calls init() automatically to create the schema and run any pending migrations. The same applies to ObservabilityStorageClickhouseVNext when used through MastraCompositeStore.
If you manage storage outside of Mastra, call init() explicitly:
import { ObservabilityStorageClickhouseVNext } from '@mastra/clickhouse'
const observability = new ObservabilityStorageClickhouseVNext({
url: process.env.CLICKHOUSE_URL!,
username: process.env.CLICKHOUSE_USERNAME!,
password: process.env.CLICKHOUSE_PASSWORD!,
})
await observability.init()
In CI/CD pipelines, set disableInit: true on ClickhouseStore and run init() from a deployment step that uses elevated credentials. Runtime application credentials can then be limited to read and insert.
ObservabilityDirect link to Observability
ClickHouse is the recommended backend for production observability:
- Insert-only strategy:
DefaultExporterwrites completed spans in batches without per-span updates, which is the highest-throughput strategy available. - Columnar compression: Span attributes and log payloads compress well compared to the same data in row-oriented databases.
For the full strategy matrix and production guidance, see the DefaultExporter reference.