High Performance
ClickHouse is designed for fast processing of analytical queries, often performing significantly faster than traditional databases due to its columnar storage format and optimized query execution.
Scalability
The system is built to handle extensive datasets by scaling horizontally through distributed cluster configurations, making it suitable for big data applications.
Real-time Data Ingestion
ClickHouse supports real-time data ingestion and can immediately reflect changes in query results, which is valuable for use cases requiring instant data processing and analysis.
Cost Efficiency
The open-source nature of ClickHouse makes it a cost-effective option, especially when compared to other commercial data warehouses.
SQL Compatibility
ClickHouse features strong SQL support, which makes it easier for individuals with SQL expertise to transition and use the platform effectively.
Compression
ClickHouse employs advanced compression algorithms that reduce storage requirements and improve query performance.
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ClickHouse is a powerful and capable columnar DBMS that offers excellent performance for analytical workloads. Its open-source nature allows for flexibility and community-driven improvements, making it a strong option for organizations needing a scalable analytics platform.
We have collected here some useful links to help you find out if ClickHouse is good.
Check the traffic stats of ClickHouse on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of ClickHouse on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of ClickHouse's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of ClickHouse on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about ClickHouse on Reddit. This can help you find out how popualr the product is and what people think about it.
ClickHouse is a columnar OLAP database. It runs aggregate queries across billions of rows in seconds. MySQL is what most apps run on for transactional reads and writes. Different jobs, different storage shapes, which is why people end up running them side by side: MySQL for the app, ClickHouse for analytics on top of the app's data. - Source: dev.to / about 2 months ago
ClickHouse just dropped a study that every executive should read: LLMs are great at some things, but basing your infrastructure on them? Too much, too soon. - Source: dev.to / 2 months ago
That's the problem we needed to solve for Query & Dashboards. The answer is TRQL (Trigger Query Language), a SQL-style language that compiles to secure, tenant-isolated ClickHouse queries. Users write familiar SQL. TRQL handles the security, the abstraction, and the translation. - Source: dev.to / 4 months ago
My goal was a bit bold: to integrate AI directly into the Postgres kernel, making the database self-aware. This led me to a new domain, inspired by the ClickHouse open take-home challenge. - Source: dev.to / 8 months ago
For use cases demanding sub-second latency at very high concurrency (like real-time observability), specialized engines like ClickHouse often provide superior price-performance. - Source: dev.to / 8 months ago
I'd not heard of clickhouse before. It does seem interesting, but I just can't get behind a project that says: > The easiest way to download the latest version is with the following command: > curl https://clickhouse.com/ | sh Like, sure, there is some risk downloading a binary or running an arbitrary installer. But this is just nuts. - Source: Hacker News / 9 months ago
ClickHouse is an open-source columnar database built for high-performance analytical queries. This guide shows how I installed ClickHouse on macOS, ran it in the background using a lightweight nohup setup that stores logs and PID in hidden user folders, and tested it with a minimal Node.js + TypeScript example using @clickhouse/client. - Source: dev.to / 10 months ago
At Agnostic, we build open-source infrastructure for collaborative blockchain data platforms. One of our flagship tools is clickhouse-evm, a suite of high-performance User Defined Functions (UDFs) that brings native Ethereum decoding and querying capabilities directly into ClickHouse. - Source: dev.to / about 1 year ago
Over the past few weeks, Iโve been diving into ClickHouse โ and itโs been full of surprises. - Source: dev.to / about 1 year ago
I attended the AWS Summit 2025 in Singapore. I enjoyed the event. There were booths from various companies which I found interesting, such as GitLab and ClickHouse. More importantly, I got to meet very interesting people. - Source: dev.to / about 1 year ago
ClickHouse: A fast columnar database. It will be our final destination for clean data. And, for simplicity in this tutorial, we'll cleverly use it as our "memory" or state store to remember which events we've already seen recently. - Source: dev.to / about 1 year ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 1 year ago
ClickHouse: ClickHouse is an open-source columnar database management system designed for high-performance analytics. It excels at processing large volumes of data and offers real-time querying capabilities. Itโs probably the worldโs fastest real-time data analytics system: ClickHouse Benchmark. - Source: dev.to / over 1 year ago
Further investigation revealed that these ports provided direct access to a publicly exposed ClickHouse databaseโentirely unprotected and requiring no authentication. This discovery raised immediate security concerns, as ClickHouse is an open-source, columnar database management system designed for high-speed analytical queries on massive datasets. Originally developed by Yandex, ClickHouse is widely used for... - Source: dev.to / over 1 year ago
Clickhouse also has managed service (https://clickhouse.com/). - Source: Hacker News / over 1 year ago
ClickHouse is rapidly gaining traction for its unmatched speed and efficiency in processing big data. Cloudflare, for example, uses ClickHouse to process millions of rows per second and reduce memory usage by over four times, making it a key player in large-scale analytics. With its advanced features and real-time query performance, ClickHouse is becoming a go-to choice for companies handling massive datasets. In... - Source: dev.to / over 1 year ago
And you can try it right now. Install ClickHouse:- Source: Hacker News / over 1 year agocurl https://clickhouse.com/ | sh.
ClickHouse is a high-performance, column-oriented SQL database management system (DBMS) designed for online analytical processing (OLAP). ClickHouse allows using Arrow Stream as an output format. - Source: dev.to / about 2 years ago
We started to look for alternatives and quickly landed at Clickhouse. - Source: dev.to / almost 2 years ago
In todayโs story, we will discuss CVE-2024-22412 which affected ClickHouse a popular open-source column-oriented database management system typically used for online analytical processing (OLAP) in real-time. You can find the full write-up of the vulnerability here. - Source: dev.to / almost 2 years ago
We chose ClickHouse to store the dictionary as we ran into deadlock and performance issues with Postgres writes as we scaled the number of workers. ClickHouse's async inserts are fantastic for this task and allowed us to ingest the entire 38M+ document dataset in < 1hr. - Source: dev.to / almost 2 years ago
ClickHouse, an open-source, column-oriented, distributed database management system, is increasingly recognized for its speed and efficiency in handling large volumes of data. This rise is reflected in numerous professional discussions and articles highlighting its capabilities and use cases in real-world scenarios. As an Online Analytical Processing (OLAP) database, ClickHouse is particularly noted for its ability to process massive datasets efficiently and provide real-time querying capabilities.
Performance and Efficiency:
Ease of Use and Integration:
Wide Adoption and Versatility:
ClickHouse stands out among its competitors like MySQL, PostgreSQL, and Apache Doris due to its specific OLAP capabilities. Compared to PostgreSQL, for instance, ClickHouse offers better performance for certain analytical workloads, as indicated in discussions around vector search functionality. It also poses a faster alternative for moving analytical workloads away from MongoDB, thanks to its JSON support and ability to handle nested data structures.
Despite its strengths, ClickHouse has not been without challenges. Security vulnerabilities, such as CVE-2024-22412, highlight potential risks associated with its use, emphasizing the importance of diligent security practices in its deployment. Additionally, instances of unauthenticated public exposure of ClickHouse databases underline the need for robust access control and authentication mechanisms to mitigate risks in real-time data processing environments.
ClickHouse is firmly establishing itself as a leader in the domain of high-performance data analytics. Its rapid processing capabilities, ease of integration, and widespread adoption make it a compelling choice for enterprises seeking to gain faster insights from their data. While security concerns exist, their resolution through best practices and updates can help maintain ClickHouse's position as a top contender in OLAP solutions.
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Is ClickHouse good? This is an informative page that will help you find out. Moreover, you can review and discuss ClickHouse here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
