ClickHouse Online Compiler / SQL Runner
Write, test, and execute ClickHouse SQL queries online directly from your browser with our free Online ClickHouse Compiler / SQL Runner. Practice analytical queries, aggregations, filtering, grouping, and high-performance OLAP SQL without installing a local ClickHouse server or configuring the ClickHouse command-line client.
How to Use This ClickHouse Compiler
- Write or paste your ClickHouse SQL
Enter your query in the Code Editor. You can practiceSELECT,WHERE,GROUP BY,ORDER BY, aggregate functions, joins, and other supported ClickHouse SQL features. - Click the Run button
Select Run to execute your ClickHouse query. If the SQL contains a syntax or execution error, review the returned message, correct the query, and run it again. - Check the Output screen
Query results and execution messages appear in the Output panel. Use the available controls to copy, download, or delete the output before testing another analytical query.
Key Features
- Free Online ClickHouse SQL Runner: Execute ClickHouse SQL directly from a modern browser.
- Zero Installation: No need to install ClickHouse Server or configure the command-line client for supported exercises.
- Columnar OLAP Practice: Work with SQL patterns commonly used for analytical and reporting workloads.
- Instant Query Execution: Click Run and quickly review query results or execution errors.
- Aggregation Support: Practice
COUNT,SUM,AVG,MIN,MAX, grouping, and other supported analytical functions. - Filtering & Sorting: Test
WHERE,ORDER BY,LIMIT, and related query operations. - JOIN Practice: Experiment with supported joins across analytical datasets.
- Dark and Light Mode: Switch the Code Editor theme for comfortable SQL development.
- Output Controls: Copy, download, or clear query results directly from the Output panel.
1. How do I run a basic SELECT query in this online ClickHouse compiler?
You can start with a simple expression-based SELECT query:
SELECT 'Hello, World!' AS message;
To retrieve rows from a table:
SELECT *
FROM events;
You can also filter and sort the result:
SELECT
user_id,
event_name,
event_time
FROM events
WHERE event_name = 'purchase'
ORDER BY event_time DESC
LIMIT 20;
Enter the query in the Code Editor, click Run, and review the returned data in the Output screen.
2. Is ClickHouse a column-oriented database?
Yes. ClickHouse is designed as a column-oriented database system for analytical workloads. Instead of processing complete rows for every analytical query, columnar storage makes it efficient to read only the columns needed for aggregations and reporting.
For example:
SELECT
category,
COUNT(*) AS total_orders,
SUM(amount) AS total_revenue,
AVG(amount) AS average_order
FROM orders
GROUP BY category
ORDER BY total_revenue DESC;
This type of aggregation-heavy query is a common use case for ClickHouse.
3. Do I need to install ClickHouse locally to use this tool?
No. You can use this Online ClickHouse Compiler / SQL Runner directly from your browser for supported SQL exercises without installing ClickHouse Server or configuring a local command-line client.
A complete ClickHouse environment may still be needed for production databases, persistent datasets, large-scale ingestion, server administration, external application connections, cluster configuration, and advanced performance testing.
4. Is this ClickHouse compiler suitable for analytical or OLAP workloads?
Yes. The editor is useful for practicing OLAP-style SQL, including aggregations, grouping, filtering, sorting, and analytical calculations.
For example:
SELECT
region,
COUNT(*) AS total_sales,
SUM(revenue) AS total_revenue,
AVG(revenue) AS average_revenue
FROM sales
GROUP BY region
ORDER BY total_revenue DESC;
You can also practice time-based analysis:
SELECT
toDate(event_time) AS day,
COUNT(*) AS events
FROM user_events
GROUP BY day
ORDER BY day;
This makes the Online ClickHouse Compiler useful for data analysts, data scientists, data engineers, backend developers, and SQL students practicing high-performance analytical queries.