ClickHouse Self-Hosted: Deploy in One Click
ClickHouse is a fast analytical database for real-time queries. Automatio deploys it to your own server with HTTPS in one click for total data privacy.
ClickHouse
AnalyticsClickHouse is an open-source column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) that allows users to generate analytical reports using SQL queries in real-time. ClickHouse works 100-1000x faster than traditional database management systems, and processes hundreds of millions to over a billion rows and tens of gigabytes of data per server per second.
What you get when you deploy ClickHouse
The server we rent for it, what it costs, and what the installer will ask you.
- Server
- CX23 · 2 vCPU · 4 GB RAM
- From
- $9/month
- Setup
- No configuration required
Included with every deployment
- Dedicated server, one app per machine
- HTTPS certificate issued automatically
- Free subdomain, custom domain optional
- Restart, resize, snapshot and restore
The project
Everything this page links to outside Automatio.
Deploy ClickHouse in one click
On your own server, with your own data. No terminal, no Docker commands, no certificate setup.
- 1
Pick a size
Start on the smallest server that fits the app. Resize later without reinstalling.
- 2
Press deploy
We rent the server, install the app with Docker, and point a subdomain at it.
- 3
Watch it come up
Provisioning runs unattended and takes a few minutes. When the HTTPS certificate lands, the app is live and your login details are on the deployment page.
Server size
Billed monthly with your Automatio subscription. Destroy the server any time and the charge stops.
Key Capabilities
Explore what Automatio can do for this use case
Columnar Storage Engine
ClickHouse stores data by column rather than row, which is fundamental for high-performance analytical queries. This architecture allows the system to ignore irrelevant data during a scan, reducing I/O operations and accelerating large-scale aggregations.
- 1MergeTree table engines
- 2Efficient data compression
- 3Primary and secondary indexing
- 4Sparse index for massive datasets
- 5Optimized for SSD/NVMe
Key Capabilities
- Columnar Storage Engine
ClickHouse stores data by column rather than row, which is fundamental for high-performance analytical queries. This architecture allows the system to ignore irrelevant data during a scan, reducing I/O operations and accelerating large-scale aggregations.
- MergeTree table engines
- Efficient data compression
- Primary and secondary indexing
- Sparse index for massive datasets
- Optimized for SSD/NVMe
- Real-Time Query Processing
Designed for online analytical processing, ClickHouse delivers sub-second response times on billions of rows. It uses vectorized query execution and parallel processing to utilize all available CPU cores on your server for dashboards and monitoring.
- Vectorized execution engine
- Parallel processing
- Multicore scaling support
- Approximate query execution
- Low-latency data ingestion
- Comprehensive SQL Support
Despite being an OLAP database, ClickHouse offers a complete SQL implementation compatible with most business intelligence tools. It includes support for complex JOINs, subqueries, and advanced analytical functions specific to time-series and log data.
- Standard SQL query language
- Window functions
- Complex JOIN operations
- Native JSON data support
- Array and Nested data types
- Data Replication and Safety
ClickHouse ensures data availability through asynchronous multi-master replication. This allows analytical workloads to remain operational during hardware failures or maintenance windows, providing reliability for production analytical environments.
- Asynchronous replication
- Multi-master architecture
- Automated failover
- Distributed execution
- Built-in ClickHouse Keeper
Why self-host ClickHouse
What to know first
Managed, DIY, or One-Click?
The three realistic ways to run {name}, compared honestly.
| Aspect | Managed SaaS | DIY on a VPS | Automatio one-click |
|---|---|---|---|
| Setup Time | Instant | 1-2 Hours | 15 Minutes |
| Data Ownership | Third-party host | 100% Yours | 100% Yours |
| Maintenance | Zero | Manual updates | Automated |
| Cost Model | Per-query/scanned | Fixed VPS cost | Fixed VPS cost |
| TLS/HTTPS | Included | Manual Certbot | Auto-configured |
Setup Time
Data Ownership
Maintenance
Cost Model
TLS/HTTPS
Who this is for
People who actually run ClickHouse on their own server, and what changes when they do.
a solo founder tracking app events
Exploding costs of managed analytics as user events scale.
Fixed infrastructure pricing regardless of query volume allows for sustainable growth and customer-facing dashboards.
- Track billion-scale user events
- Build a customer-facing metrics dashboard
- Export custom usage reports
a data analyst building dashboards
Traditional SQL databases are too slow for real-time aggregations.
Sub-second query results on raw data allow for rapid hypothesis testing and business intelligence without timeouts.
- Run complex SQL joins on historical data
- Connect Metabase for visualization
- Analyze event correlation across months
a devops engineer managing logs
Proprietary logging tools have 30-day retention limits.
Long-term storage of raw system logs for audit and anomaly detection without hitting pricing walls.
- Index Nginx access logs
- Detect long-term traffic trends
- Search for historical IP anomalies
a researcher processing datasets
Public cloud costs make exploring large datasets prohibitive.
Ingesting and querying open datasets at scale becomes affordable when paying only for the raw server resources.
- Load climate or financial datasets
- Run multi-year trend analysis
- Compare datasets across decades
About This App
What this app does and where it fits.
Columnar storage for real-time speed
ClickHouse was created to power Yandex.Metrica, the second-largest web analytics platform globally. It was built from the start to process trillions of rows with extreme efficiency. Most traditional databases store data in rows. If you want the average of one column, they must read the entire row from the disk. ClickHouse stores data in columns. It reads only the specific data requested, which is why it often performs 100 to 1,000 times faster for analytical tasks.
Architecture: MergeTree and vectorization
The performance comes from the MergeTree table engine. When you write data, ClickHouse stores it in parts and merges them in the background. During this process, it can aggregate or deduplicate data automatically. The execution engine uses vectorized processing. This allows it to handle multiple data points in a single CPU instruction. It utilizes all available CPU cores for a single query to return results in milliseconds, even on massive datasets.
The first hour: SQL and ingestion
In your first hour, you will connect to the server via the HTTP interface or the native command line. You will define a table with the MergeTree engine and load your first dataset. Because it uses standard SQL, you can run complex aggregations and joins immediately. You do not need to learn a custom query language. Most users connect visualization tools like Metabase or Grafana to build dashboards right away.
Where ClickHouse fits
ClickHouse fits best in stacks where you need to analyze event logs, user behavior, or sensor data. It acts as an open-source alternative to services like BigQuery or Snowflake. By hosting it on your own server, you avoid the high cost of per-query billing while keeping your raw data private. It works well alongside a transactional database like MySQL, taking over the heavy analytical work that would slow down your primary application database.
Optimization and compression
The system includes support for advanced functions like window operations and array handling. These features allow you to perform complex time-series analysis without writing difficult code. It handles data compression automatically, often reducing the space needed on your disk by more than 80 percent. This efficiency makes it possible to store years of history on a standard VPS without constantly adding storage. Managing the database involves monitoring disk usage and memory. Since ClickHouse is designed to use available RAM for speed, it performs best when given a dedicated environment.
Community Feedback
See what the community thinks about ClickHouse
“The speed is absolutely terrifying. Queries that took 30 seconds in Postgres take 20ms in ClickHouse on the same hardware.”
“It’s a memory hog, but it’s worth it. If you have the RAM, it’s the fastest thing you’ll ever run.”
“Setup is a bit involved if you do it manually, specifically Zookeeper, but once it is running it is rock solid.”
“The compression is insane. We saved 80% on storage compared to our old row-based setup.”
“ClickHouse is great but don't try to use it like Postgres. No small updates or single row deletes.”
“For real-time dashboards with billions of events, there is literally nothing else in open source that comes close.”
Related Videos
Watch tutorials, reviews, and discussions about ClickHouse
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Pro Tips
Expert tips to help you get the most out of ClickHouse and achieve better results.
Pick 8GB RAM Baseline
ClickHouse is designed to use memory for query speed. A CX33 server is the baseline for production stability.
Use MergeTree Engines
Always use the MergeTree table engine for your main data. It is the most robust engine and supports indexing and partitioning.
Batch Your Inserts
ClickHouse performs best with large batches (1,000 to 10,000 rows) rather than individual row inserts to reduce background merge overhead.
Testimonials
What Our Users Say
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Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
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CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
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Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
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We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
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Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions
Find answers to common questions about ClickHouse