[Home](https://www.selecthub.com/) \> [Big Data](https://www.selecthub.com/category/big-data-analytics/) \> [Data Warehouse Tools](https://www.selecthub.com/c/data-warehouse-tools/) \> Clickhouse 

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## What Is Clickhouse?

**Industry Specialties:** Advertising networks and RTB, Business intelligence, E-commerce and finance, Information security, Internet of Things (IoT), Monitoring and telemetry, Online games, Observability, Telecommunications, Time series, User behavior analytics, Web and app analy

ClickHouse is a high-performance columnar database management system tailored for online analytical processing (OLAP). It efficiently handles massive datasets, enabling real-time data analysis and complex query execution, making it ideal for sectors like finance, telecommunications, and e-commerce that demand swift and insightful data insights. Its architecture supports rapid data ingestion and leverages advanced compression techniques, which optimize storage and enhance query speed. Unique benefits of ClickHouse include its ability to scale seamlessly with growing data volumes and its robust support for parallel processing, ensuring consistent performance even under heavy workloads. Users appreciate its flexibility and cost-effectiveness compared to similar solutions, often citing its open-source nature as a significant advantage. Pricing details are not readily available; it is recommended to contact SelectHub for a personalized quote based on specific needs.

PRICE

$

$

$

$

$

COMPANY SIZE

S

M

L

DEPLOYMENT

PLATFORM

[ Try Before You Buy. Request a Free Demo Today! Request Demo It's completely free! ](https://pmo.selecthub.com/get-product-demo/?category=Data+Warehouse+Tools&product%5Fname=Clickhouse&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fdata-warehouse-tools%2Fclickhouse%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2Fe027ffbf4c1d80802a64ca25f39caa8d-992db552043e07edba679fb853bd7a66%2Fresources%2Foriginal%2Flogo.svg%3F1746566102) 

 User Sentiment i 

![User satisfaction level icon: great]() 

Based on 59 reviews:

 Add your rating:

![Screenshots]()![Screenshots]() 

 Product Screenshots and Videos

## #4

 Clickhouse is ranked #4 in the Data Warehouse Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

[ Get the Report Now](https://pmo.selecthub.com/request-custom-scorecard?category%5Fslug=data-warehouse-tools&product%5Fslug=clickhouse&slug=clickhouse&product%5Fname=Clickhouse&category=Data+Warehouse+Tools&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fdata-warehouse-tools%2Fclickhouse%2F) 

## Clickhouse Pricing

Based on our most recent analysis, Clickhouse pricing starts at $67 (Monthly, Freemium).

[Get Price Quote](https://pmo.selecthub.com/get-product-pricing/?category=Data+Warehouse+Tools&product%5Fname=Clickhouse&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Fdata-warehouse-tools%2Fclickhouse%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2Fe027ffbf4c1d80802a64ca25f39caa8d-992db552043e07edba679fb853bd7a66%2Fresources%2Foriginal%2Flogo.svg%3F1746566102&price=2) 

Price

$

$

$

$

$

 i

Starting From

$66.52

Pricing Model

Monthly, Freemium

Free Trial

Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=Clickhouse&category=Data+Warehouse+Tools&product%5Flogo=https://cdn.selecthub.com/products/e027ffbf4c1d80802a64ca25f39caa8d-992db552043e07edba679fb853bd7a66/resources/original/logo.svg?1746566102)) 

## Training Resources

 Clickhouse is supported with the following types of training:

Documentation

In Person

Live Online

Videos

Webinars

## Support

 The following support services are available for Clickhouse:

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

## Clickhouse Benefits and Insights

Why use Clickhouse?

### Key differentiators & advantages of Clickhouse

* **High Performance:** Clickhouse excels in processing large volumes of data quickly, making it ideal for real-time analytics and reporting.
* **Columnar Storage:** By storing data in columns rather than rows, Clickhouse optimizes query performance and reduces disk I/O, which is particularly beneficial for analytical queries.
* **Scalability:** It supports horizontal scaling, allowing businesses to handle increasing data loads by adding more servers to the cluster without significant performance degradation.
* **Cost Efficiency:** Clickhouse's efficient use of hardware resources reduces the need for expensive infrastructure, making it a cost-effective solution for large-scale data processing.
* **Real-Time Data Ingestion:** With its ability to ingest data in real-time, Clickhouse enables businesses to make timely decisions based on the most current data available.
* **SQL Compatibility:** Clickhouse supports a wide range of SQL queries, making it accessible to users familiar with SQL, thus reducing the learning curve and integration time.
* **Fault Tolerance:** Its distributed architecture ensures data redundancy and high availability, minimizing the risk of data loss and downtime.
* **Open Source Community:** As an open-source project, Clickhouse benefits from a vibrant community that contributes to its continuous improvement and innovation.
* **Compression Capabilities:** Advanced compression algorithms reduce storage requirements, allowing businesses to store more data without proportional increases in storage costs.
* **Extensive Ecosystem:** Clickhouse integrates well with various data processing and visualization tools, enhancing its utility in diverse data environments.
* **Customizability:** Users can tailor Clickhouse to their specific needs through configuration options and extensions, ensuring it meets unique business requirements.
* **Data Consistency:** Clickhouse maintains strong consistency guarantees, ensuring that users always access the most accurate and up-to-date data.
* **Efficient Resource Utilization:** Its architecture is designed to make optimal use of CPU and memory resources, maximizing throughput and minimizing latency.
* **Comprehensive Documentation:** Detailed documentation and community support make it easier for users to implement and troubleshoot Clickhouse deployments.
* **Flexible Data Modeling:** Clickhouse supports various data types and structures, allowing businesses to model their data in ways that best suit their analytical needs.

### Industry Expertise

ClickHouse is particularly well-suited for industries that require real-time analytics and processing of large datasets, such as financial services, e-commerce, and technology. It is also a popular choice for companies that need to analyze large volumes of log data, such as those in the media and gaming industries.

## Clickhouse Reviews

Based on our most recent analysis, Clickhouse reviews indicate a 'great' User Satisfaction Rating of 87% based on 59 user reviews from 3 recognized software review sites.

![User satisfaction level icon: great]() 

59 reviews

87%

of users would recommend this product

###  Synopsis of User Ratings and Reviews

Based on an aggregate of Clickhouse reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

#### Pros

* **Fast Query Performance:** ClickHouse is praised by user reviews for its exceptional speed in executing queries, especially on large datasets, making it suitable for real-time analytics.
* **Ease of Use:** User reviews frequently mention that ClickHouse is simple to set up and use, even for users without extensive database experience. Its SQL-like syntax makes it accessible to those familiar with SQL.
* **Cost-Effective:** As a 100% free and open-source platform, ClickHouse eliminates licensing costs. Its efficient data compression also contributes to lower storage costs, making it a budget-friendly option.
* **Scalability:** ClickHouse's architecture allows it to scale horizontally, meaning you can add more servers to handle increasing data volumes and user demands. This makes it suitable for businesses experiencing rapid growth.

#### Cons

* **Limited JOIN Support:** ClickHouse is not optimized for JOIN operations, especially with large tables, which can be a significant drawback for analytical queries that frequently require joining data from multiple tables. User reviews mention this can lead to performance issues and query failures.
* **Data Modification Challenges:** ClickHouse is not designed for high-rate data modifications. While it supports batch DELETE and UPDATE operations, performing these actions frequently or at a large scale can be inefficient. User reviews point out that this makes ClickHouse unsuitable for transactional workloads where real-time data updates are critical.
* **Lack of Full Transactions:** Unlike traditional relational databases, ClickHouse does not support full-fledged transactions. This can be a concern for businesses that require atomicity, consistency, isolation, and durability (ACID) properties for their data operations, especially in scenarios where data integrity is paramount.

#### Researcher's Summary:

Is Clickhouse a leading solution when it comes to managing big data, or does it leave users feeling stung? User reviews on Clickhouse are largely positive, praising its blazing-fast query speeds, particularly for large datasets. Users highlight its superior performance compared to alternatives like Spark, Teradata, Snowflake, and Elasticsearch, with some reporting tenfold improvements in query times and significant cost reductions. This speed is attributed to its columnar storage, vectorized query execution, and efficient compression algorithms. Clickhouse's SQL-like syntax is also frequently commended for its ease of use and familiarity. 

However, some users point out areas where Clickhouse falls short. A recurring concern is the lack of robust support for complex queries and joins, making it less suitable for intricate analytical tasks. Additionally, users express a need for improved documentation and highlight challenges in managing and scaling Clickhouse clusters, particularly for those unfamiliar with its intricacies. Despite these drawbacks, Clickhouse emerges as a top contender for businesses dealing with massive datasets that demand rapid, real-time analytics, especially for simpler aggregation queries where speed and cost-efficiency are paramount.

## Key Features

Notable Clickhouse features include:

  
* **Columnar Storage:** Clickhouse stores data by columns rather than rows, optimizing for read-heavy workloads and enabling efficient data compression.
* **Real-Time Analytics:** Supports real-time data processing, allowing for immediate insights and decision-making without delays.
* **Distributed Architecture:** Designed to scale horizontally across multiple nodes, providing high availability and fault tolerance.
* **SQL Support:** Offers a rich SQL dialect for querying, making it accessible to users familiar with traditional SQL databases.
* **Data Compression:** Utilizes advanced compression algorithms like LZ4 and ZSTD to reduce storage costs and improve query performance.
* **Materialized Views:** Allows pre-computation of complex queries, speeding up access to frequently queried data.
* **High Throughput:** Capable of processing billions of rows per second, making it suitable for large-scale data analytics.
* **Time Series Data Handling:** Optimized for time series data, with features like window functions and time-based partitioning.
* **Join Operations:** Supports various join types, including hash joins and distributed joins, for complex data relationships.
* **Data Replication:** Provides built-in replication for data redundancy and consistency across distributed systems.
* **Custom Functions:** Users can define custom functions to extend the database's capabilities for specific use cases.
* **Asynchronous Processing:** Enables non-blocking query execution, improving system responsiveness and resource utilization.
* **Integration with Ecosystem:** Compatible with various data ingestion and visualization tools, such as Kafka and Grafana.
* **Fault Tolerance:** Automatically recovers from node failures, ensuring continuous data availability and integrity.
* **Data Partitioning:** Supports partitioning strategies to optimize query performance and manage large datasets efficiently.
* **Advanced Indexing:** Implements primary and secondary indexing techniques to accelerate query execution.
* **Open Source:** Freely available under the Apache 2.0 license, encouraging community contributions and transparency.
* **Extensive Documentation:** Comprehensive documentation and community support facilitate ease of use and troubleshooting.
* **Data Sharding:** Distributes data across multiple shards to balance load and enhance performance.
* **Concurrency Control:** Manages simultaneous query execution to maximize throughput and minimize contention.

## Head-to-Head  
 Comparison

![Clickhouse Software Tool]() 

vs

* [Amazon S3](https://www.selecthub.com/data-warehouse-tools/amazon-s3-vs-clickhouse/)
* [BigQuery](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-bigquery/)
* [DynamoDB](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-dynamodb/)
* [MarkLogic](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-mark-logic-enterprise-nosql/)
* [Oracle Exadata](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-oracle-exadata/)
* [Panoply](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-panoply-io/)
* [Redshift](https://www.selecthub.com/data-warehouse-tools/redshift-vs-clickhouse/)
* [SAP Data Warehouse Cloud](https://www.selecthub.com/data-warehouse-tools/clickhouse-vs-sap-data-warehouse-cloud/)
* [Snowflake](https://www.selecthub.com/data-warehouse-tools/snowflake-vs-clickhouse/)

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[ Lakebed ](https://www.selecthub.com/p/data-warehouse-tools/lakebed/) 

[ Panoply ](https://www.selecthub.com/p/data-warehouse-tools/panoply-io/) 

[ Firebolt ](https://www.selecthub.com/p/data-warehouse-tools/firebolt-io/) 

[ Oracle Autonomous Data Warehouse ](https://www.selecthub.com/p/data-warehouse-tools/oracle-autonomous-data-warehouse/) 

[ IBM DB2 Warehouse ](https://www.selecthub.com/p/data-warehouse-tools/ibm-db2-warehouse/) 

[ SAP Data Warehouse Cloud ](https://www.selecthub.com/p/data-warehouse-tools/sap-data-warehouse-cloud/) 

[ MarkLogic ](https://www.selecthub.com/p/data-warehouse-tools/mark-logic-enterprise-nosql/) 

[ Oracle Exadata ](https://www.selecthub.com/p/data-warehouse-tools/oracle-exadata/) 

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