ClickHouse Hosting Live In 5 Minutes

ClickHouse hosting gives you a self-hosted columnar database for analytical queries, on a server you rent at a flat monthly price. Deploy ClickHouse from the OneClick catalog, choose the admin username, and xCloud serves the HTTP interface and the built-in /play SQL console over HTTPS, protected by a generated password, with your tables on a persistent volume you can back up and restore yourself.

Deploy your ClickHouse

No terminal
No technical skills needed
No lock-in, cancel anytime

What is ClickHouse?

Self-hosted ClickHouse is a columnar database: an open-source, column-oriented database management system, licensed under Apache-2.0, that generates analytical data reports in real time using SQL. Its README points to ClickHouse Cloud as the hosted service from its creators, which is the managed alternative to running it yourself. As a self-hosted server it is an alternative to hosted warehouses such as Snowflake and BigQuery, for workloads one machine can hold.

On xCloud the template runs the official ClickHouse 26.3 LTS image as a single server, pinned by digest, with every database and table under /var/lib/clickhouse on the clickhouse_data volume. Only the HTTP interface is published, over HTTPS; the native port 9000 is not, and there is no clustering. xCloud generates a 24-character admin password and removes the default user.

From Sign-Up to Your First Query In Just 3 Easy Steps

A reachable ClickHouse normally needs a container, a volume, an authenticated HTTP endpoint and a certificate. This ends at a SQL prompt in your browser.

Step 01
Sign Up
Create your xCloud account and pick ClickHouse from the OneClick catalog. Choose a domain and a server; the only install field is the admin username, which defaults to admin.
Step 02
We Deploy It For You
One click. We run clickhouse/clickhouse-server 26.3 LTS, pinned by digest, mount the clickhouse_data volume at /var/lib/clickhouse, remove the passwordless default user and publish port 8123 over HTTPS.
Step 03
Run Your First CREATE TABLE
Open the /play URL from the credentials panel, sign in with the generated password and run CREATE DATABASE analytics, then CREATE TABLE. Point an HTTP client at the same endpoint to load data.

Not Just Fast — Built For Analytics From The Ground Up

ClickHouse is a column store for analytical reports, a different job from the row store behind your application.

Column-Oriented Engine
A database management system built to generate analytical data reports in real time, queried with ordinary SQL over tables stored by column.
Built-In /play Console
A web SQL console served at /play on your domain, behind the generated admin account, so the first query needs no client install.
Full SQL Over HTTP
The HTTP interface takes DDL, DML, INSERT … SELECT, materialized views and dictionaries, and returns formats such as JSON, Parquet, Arrow and Avro.
Server-Side Ingestion Engines
For large or continuous loads, engines such as S3, S3Queue, Kafka and PostgreSQL pull data in directly, bypassing the proxy's request-size cap.
HTTP Client Support
Python clickhouse-connect, Node @clickhouse/client, Go and JDBC in HTTP mode, plus Grafana, Metabase, Superset and DBeaver, connect to the HTTPS endpoint.
No Anonymous Access
The passwordless default user is removed on first launch, so unauthenticated and default-user requests get a 401 at the endpoint.

Everything You Need To Run Your Analytics Database 24/7

Hosting for a database whose whole point is that you can throw analytical queries at it.

ClickHouse 26.3 LTS deployed instantly
Image pinned by digest
Persistent clickhouse_data volume
Generated admin password
Free SSL certificate
Server backups and snapshots
Server security updates included
30+ server locations
Unused balance refunded

What You Can Do With ClickHouse

ClickHouse server hosting for product analytics
A product team streams event data into one ClickHouse server and charts it in Grafana or Metabase over the HTTPS endpoint, with the data on a server it controls rather than in a warehouse account.
Keep a log and event store you can query in SQL
An engineer lands application events on the server with the Kafka or S3Queue engine, then answers incident questions with SQL in the /play console.
Load Parquet files straight into tables
A data team points the S3 engine at a bucket of Parquet exports and inserts the rows server-side, which keeps big loads clear of the proxy's request-size cap.
Add an analytics store beside PostgreSQL
A developer keeps the transactional database for the app and reads rows into ClickHouse with the PostgreSQL engine, so reporting queries leave the main database alone.

ClickHouse vs Alternatives

ClickHouse Cloud: The hosted service built by ClickHouse's creators, according to the README. The template here is one self-managed server on your Cloud VPS, with no clustering and no hosted control plane.
Snowflake: A hosted cloud data warehouse, as is Google BigQuery. ClickHouse here is a server you run, with SQL over HTTP, so you decide the size, the network exposure and where the data sits.
PostgreSQL: PostgreSQL has its own OneClick page for application databases. ClickHouse is the column-oriented store you add beside it for analytical reports, and its PostgreSQL engine can read rows from a PostgreSQL server.
TimescaleDB: TimescaleDB also has its own OneClick page on xCloud. ClickHouse takes a different starting point: it is column-oriented from the start and built to generate analytical data reports in real time with SQL.

Ready To Own Your Analytics Database?

ClickHouse on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. The data, the queries and the memory limits you set stay under your control.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

What is ClickHouse used for?

Real-time analytical reporting. Upstream describes it as a column-oriented database that generates analytical data reports in real time using SQL, and the template tags it for OLAP and data warehousing. It is not meant for the many small updates an application's own database handles.

Is ClickHouse free to self-host?

Yes. ClickHouse is open source under the Apache License 2.0, so the software costs nothing to run. Your xCloud bill covers the Cloud VPS and its setup. The hosted ClickHouse Cloud service is a separate offering from its creators.

How do I run ClickHouse with Docker?

On xCloud, ClickHouse Docker hosting is one click: the template starts the official clickhouse/clickhouse-server image, pinned by digest, with the data volume, nofile limits, a localhost-bound port 8123 and the HTTPS proxy already set up. There is no compose file to write.

Docker hosting

How much RAM does ClickHouse need?

The manifest asks for 2048 MB of RAM, 1 CPU core and 5 GB of disk, and this page sells the 6 GB tier. Per-query memory limits are unbounded by default, so one heavy query can use all the RAM. Set max_memory_usage and size the server to your data and concurrency.

How do I back up ClickHouse?

Back up the clickhouse_data volume, which holds all databases, tables and access-management users. For a consistent online backup, use ClickHouse's BACKUP command, for example to an S3 target, rather than copying files from a running server, and test a restore before you rely on it.

Backups in xCloud

How do I upgrade ClickHouse?

Manually. The image is pinned to 26.3 by digest and a catalog re-sync does not upgrade existing installs. Take a BACKUP, read the upgrade notes (do not skip far ahead of adjacent releases), keep the volume, change the image, then verify reads. Never use docker compose down -v.

What is the difference between ClickHouse and PostgreSQL?

ClickHouse is column-oriented and made for analytical reports; PostgreSQL is a relational database for application workloads. They work together: keep transactions in PostgreSQL and move event data into ClickHouse, which can read from a PostgreSQL server with its built-in engine.

PostgreSQL hosting

Can ClickHouse replace Snowflake?

For some analytical workloads, but check what you use. This template is one self-managed server with no clustering, replication or hosted control plane. If a single server with SQL over HTTP covers your reports, you can run them on a Cloud VPS you size yourself, with the data on your own volume.

How do I connect to a self-hosted ClickHouse server?

Over HTTPS with the admin username and password, as basic auth, query parameters or the X-ClickHouse-User and X-ClickHouse-Key headers. Port 9000 is not published, so clickhouse-client and native drivers cannot connect; use HTTP clients such as clickhouse-connect or the Node client.

Who owns the data on a self-hosted ClickHouse?

You do. Databases and tables sit on the clickhouse_data volume of your own server, and xCloud runs only the server and the deployment. Rotate the admin password by editing CLICKHOUSE_PASSWORD in the Environment editor and redeploying, then update every client.

Are there limits on uploads or protocols?

Yes, two. The HTTPS proxy caps a single request body at about 100 MB, so batch client INSERTs below that or load bulk data with server-side engines such as S3 or Kafka. And only the HTTP interface is published, so native-protocol drivers will not connect.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.