ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.
ClickHouse supports all the data sources you need to power your apps and use cases that require exceptional performance.
ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.
ClickHouse runs on every environment, whether it’s on your machine or in the cloud.
Title | Rating | Mindshare | Recommending | |
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MariaDB | 4.1 | 7.6% | 96% | 59 interviewsAdd to research |
PostgreSQL | 4.2 | 20.8% | 96% | 125 interviewsAdd to research |
ClickHouse is highly appreciated for its impressive speed and performance in managing large volumes of data. Users often highlight the real-time query execution, which allows for seamless and rapid extraction of data insights. Additionally, the scalability of ClickHouse is another significant attribute; it smoothly handles increments in data volume without sacrificing performance. ClickHouse also features efficient compression mechanisms, making storage management more cost-effective. Its robust fault tolerance is essential for maintaining data integrity and ensuring consistent access to data during any unplanned disruptions.
Several areas of improvement for ClickHouse include enhancing its error messages and documentation to be more user-friendly and informative, particularly for new users. There are concerns about the complexity of setting up and maintaining clusters, suggesting a need for a more streamlined and less error-prone process.
Users also point out performance issues when handling very large datasets or complex queries, indicating that optimization could be further improved. Additionally, the community has expressed a desire for more robust and flexible user access management features to control permissions better and enhance security within varied environments.
ClickHouse excels in handling large volumes of data and queries with high efficiency, which significantly reduces processing time and resource consumption. Businesses have benefited from cost savings due to its open-source nature and its ability to scale vertically and horizontally. Additionally, the speed and performance of ClickHouse have enabled users to enhance their data analysis capabilities, leading to better, data-driven decision-making.
ClickHouse offers a cost-effective solution due to its open-source nature, which eliminates typical licensing fees associated with other database technologies. This affordability is often highlighted as a significant advantage. The platform is praised for being straightforward to install and configure, which minimizes the setup time and reduces initial expenses. A
dditionally, many users note that the overall maintenance costs of ClickHouse are reasonable, thanks to its efficient performance and scalability, which in turn can lead to cost savings in the long run.
Users primarily employ ClickHouse for its high-performance analytical capabilities, appreciating its ability to handle large volumes of data efficiently. Common uses include real-time data analysis, where it excels due to its speed in querying vast datasets, often utilized for web analytics and monitoring.
Another significant application is in business intelligence, where ClickHouse supports complex queries and aggregations, allowing organizations to derive insights from their operational data swiftly. Users leverage it in the telecommunications sector for network performance monitoring and in financial services for fraud detection, where rapid data processing and analysis are crucial.
Users frequently commend the responsiveness and helpfulness of the support team. They appreciate the timely assistance and expertise offered, especially when dealing with complex queries or technical issues. There are, however, a few mentions of areas needing improvement, such as more detailed documentation and extended support hours to cater to a global user base.
New users occasionally report challenges during the initial setup phase, such as issues with configuration and steep learning curves in understanding optimal schema design and query optimization for maximum performance. Despite these initial hurdles, once properly configured, ClickHouse consistently receives recognition for its robust performance and scalability, making it a favored choice for analytical tasks that require processing terabytes to petabytes of data.
Users also appreciate the active community and comprehensive documentation available, which significantly aids in smoothing out the setup process.
Based on the feedback from users, ClickHouse is highly appreciated for its impressive scalability. Users highlight its ability to handle massive volumes of data efficiently and its rapid scalability that meets the demands of growing datasets without significant performance degradation.
Users often mention that the product performs well under heavy loads and maintains robustness with large datasets. Occasional issues are noted concerning upgrades and specific configurations, but these do not significantly detract from its overall solid performance. Users appreciate its reliability for processing large volumes of data efficiently and effectively.