ClickHouse

ClickHouse Self-Hosted: Deploy in One Click

ClickHouse — быстрая аналитическая база данных для запросов в реальном времени. Automatio разворачивает ее на вашем сервере с HTTPS в один клик для полной...

self-hosted clickhouseclickhouse vpsаналитическая база данныхopen-source olapdocker clickhouseаналитика в реальном времени
ClickHouse logo

ClickHouse

Analytics

ClickHouse — быстрая аналитическая база данных для запросов в реальном времени. Automatio разворачивает ее на вашем сервере с HTTPS в один клик для полной...

self-hostedopen-sourcedatabaseolapanalytics

Что вы получаете, развернув ClickHouse

Сервер, который мы арендуем, его цена и что спросит установщик.

Сервер
CX23 · 2 vCPU · 4 GB RAM
От
$9/мес
Установка
Настройка не требуется

Входит в каждое развёртывание

  • Выделенный сервер, одно приложение на машину
  • HTTPS-сертификат выпускается автоматически
  • Бесплатный поддомен, свой домен по желанию
  • Перезапуск, изменение размера, снапшоты и восстановление

Разверните ClickHouse в один клик

На вашем сервере, с вашими данными. Без терминала, команд Docker и настройки сертификатов.

  1. 1

    Выберите размер

    Начните с наименьшего подходящего сервера. Размер можно изменить позже без переустановки.

  2. 2

    Нажмите «развернуть»

    Мы арендуем сервер, ставим приложение через Docker и направляем на него поддомен.

  3. 3

    Дождитесь запуска

    Развёртывание идёт само и занимает несколько минут. Когда выпущен HTTPS-сертификат, приложение готово.

Размер сервера

Оплата ежемесячно вместе с подпиской Automatio. Удалите сервер — списания прекратятся.

Возможности ClickHouse

Узнайте, что Automatio может сделать для этого сценария использования

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

Возможности ClickHouse

  • 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.

    1. MergeTree table engines
    2. Efficient data compression
    3. Primary and secondary indexing
    4. Sparse index for massive datasets
    5. 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.

    1. Vectorized execution engine
    2. Parallel processing
    3. Multicore scaling support
    4. Approximate query execution
    5. 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.

    1. Standard SQL query language
    2. Window functions
    3. Complex JOIN operations
    4. Native JSON data support
    5. 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.

    1. Asynchronous replication
    2. Multi-master architecture
    3. Automated failover
    4. Distributed execution
    5. Built-in ClickHouse Keeper

content.selfHosted.whyTitle

content.selfHosted.tradeoffsTitle

Data Residency: Keep sensitive analytical data on your own infrastructure to satisfy privacy regulations and compliance requirements without third-party access.
Significant RAM Baseline: ClickHouse is memory-intensive. Running complex aggregations on a server with less than 8GB of RAM will frequently trigger Out-Of-Memory exceptions.
Predictable Costs: Avoid the unpredictable per-query or per-GB scanned billing models of managed cloud providers by paying a flat fee for your dedicated VPS.
Storage Management: Unlike managed cloud versions that scale storage automatically, you must monitor your own disk usage and resize your VPS before it fills up.
Full Hardware Control: Tune your server RAM and CPU allocation specifically for your query patterns, ensuring consistent performance without noisy-neighbor interference.
External SMTP Needed: If you plan to use internal alerting functions, you must configure your own external SMTP provider as the server does not send mail natively.
Permanent Retention: Store years of raw logs and events as your disk allows instead of being forced into short retention windows by SaaS vendors.
Insert Batching Requirement: Performance suffers if you send individual rows. You must batch inserts into groups of at least 1,000 to 10,000 rows to avoid merge overhead.

comparisonTable.self-hosted.title

comparisonTable.self-hosted.description

Setup Time

comparisonTable.self-hosted.managedSaasInstant
comparisonTable.self-hosted.diy1-2 Hours
comparisonTable.self-hosted.automatio15 Minutes

Data Ownership

comparisonTable.self-hosted.managedSaasThird-party host
comparisonTable.self-hosted.diy100% Yours
comparisonTable.self-hosted.automatio100% Yours

Maintenance

comparisonTable.self-hosted.managedSaasZero
comparisonTable.self-hosted.diyManual updates
comparisonTable.self-hosted.automatioAutomated

Cost Model

comparisonTable.self-hosted.managedSaasPer-query/scanned
comparisonTable.self-hosted.diyFixed VPS cost
comparisonTable.self-hosted.automatioFixed VPS cost

TLS/HTTPS

comparisonTable.self-hosted.managedSaasIncluded
comparisonTable.self-hosted.diyManual Certbot
comparisonTable.self-hosted.automatioAuto-configured

Кому это нужно

Люди, которые действительно держат ClickHouse на своём сервере, и что для них меняется.

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

Что Такое Этот Промпт?

Узнайте, что делает этот промпт и как он может помочь вам достичь лучших результатов.

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.

Что Такое Этот Промпт?

Что люди говорят о ClickHouse

Посмотрите, что думает сообщество о ClickHouse

The speed is absolutely terrifying. Queries that took 30 seconds in Postgres take 20ms in ClickHouse on the same hardware.
data_wizard
reddit
It’s a memory hog, but it’s worth it. If you have the RAM, it’s the fastest thing you’ll ever run.
sysadmin_pro
hackernews
Setup is a bit involved if you do it manually, specifically Zookeeper, but once it is running it is rock solid.
devops_guy
twitter
The compression is insane. We saved 80% on storage compared to our old row-based setup.
cloud_arch
reddit
ClickHouse is great but don't try to use it like Postgres. No small updates or single row deletes.
query_master
hackernews
For real-time dashboards with billions of events, there is literally nothing else in open source that comes close.
analytics_dev
reddit

Видео о ClickHouse

Смотрите обучающие материалы, обзоры и обсуждения о ClickHouse

ClickHouse создан для аналитических запросов, где требуется агрегировать результаты по миллиардам строк

Стандартные базы данных читают всю строку с диска, даже если вам нужна только одна колонка, но ClickHouse читает только запрошенные данные

Движок MergeTree, это ключевая концепция, при которой данные записываются частями и объединяются в фоне

Он задействует векторизованное выполнение для обработки множества точек данных за один цикл CPU

Одно из главных отличий заключается в том, что первичные ключи в ClickHouse не уникальны; они используются для локальности данных и индексации

Вставка данных небольшими батчами неэффективна; стремитесь отправлять хотя бы от 1000 до 10000 строк за один insert

Коэффициенты сжатия при колоночном хранении часто в 10 или даже 100 раз лучше, чем у систем на базе строк

ClickHouse использует все доступные ядра CPU на одном сервере для максимально быстрого выполнения запроса

Вы можете использовать стандартный синтаксис SQL, включая JOIN, хотя локальные JOIN работают значительно быстрее распределенных

Управление памятью критически важно, так как ClickHouse спроектирован так, чтобы использовать доступную RAM для кэширования частей данных ради скорости

Система оптимизирована для чтения данных, а не для частых обновлений или удаления отдельных строк

Хранилище организовано в части (parts), и если у вас слишком много активных частей, фоновый процесс слияния замедлится

ClickHouse может обрабатывать сотни миллионов строк в секунду на одном VPS средника уровня

Типы данных здесь имеют огромное значение; использование наименьшего возможного типа для колонки увеличивает скорость сканирования

Мониторинг системных таблиц вроде system.parts и system.processes необходим для отладки медленных запросов

Больше чем просто промпты

Улучшите свой рабочий процесс с ИИ-Автоматизацией

Automatio объединяет мощь ИИ-агентов, веб-автоматизации и умных интеграций, чтобы помочь вам достигать большего за меньшее время.

ИИ Агенты
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Умные Процессы

Советы для ClickHouse

Экспертные советы для максимальной эффективности ClickHouse.

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.

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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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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!

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Head of Growth, ScaleUp Labs

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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

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

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

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

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

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

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.