ClickHouse vs PostgreSQL comparison

"If you have a real-time basis, you should take a look at ClickHouse because it works on a vector database, and the querying is super fast compared to traditional databases."

"It's easier to work with big data and calculations using the product."

"The best thing about the tool is that I can set it up on my computer and run queries without depending on the cloud. This is why I use it every day."

"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."

"The tool is column-based and infinitely scalable."

"We faced a challenge with deploying ClickHouse onto Kubernetes. Recently, we've been using ClickHouse Cloud, and the main issue is the high cost of the cloud service. The pricing isn't very competitive, especially for startups. I would instead buy a server and self-host if I have enough disk space. Besides that, ClickHouse has done very well, with clear goals and effective execution."

"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."

"ClickHouse is much faster than traditional databases like MySQL and MongoDB. Its column-row searching strategy makes it very efficient. With ClickHouse, we can manage multiple databases, automatically insert data from other databases and delete data as needed. It supports real-time query performance, allowing simultaneous data insertion and retrieval. ClickHouse has improved significantly over the past two years, adding more functions and queries, as well as top functionality."

"The performance is good."

"It's a standard reliable database management system."

"The product is very similar to the SQL Server."

"The product is easy to use and works fast for relational databases."

"The system can perform faster analysis by providing it with a lot of memory. Speed is crucial for analytics. Currently, the main reason we haven't adopted Elasticsearch is that we lack the necessary expertise to manage it."

"The main value is that it is open source, which means it is free. Our organization has the initiative to go to open source to cut down on cost. Oracle costs us $6 million a year right now, which is killing us, and Postgres costs nothing. So, there is a big push to go to Postgres."

"PostgreSQL is very powerful, easy to manage, and has many features."

"It is a pretty comprehensive database system. Its performance is good, and it does what it is supposed to do. It also integrates very well."

"The aggregation capability is a valuable feature. It's highly efficient, allowing us to review entire transaction histories and user activities in the market. We've tried MongoDB, Postgres, MariaDB, and BigQuery, but ClickHouse is the most cost-efficient solution for collecting data at high speeds with minimal cost. We even used ClickHouse Cloud for a month, and it proved to be a great setup, especially for startups looking to handle big data. For example, if there is a need for 2-4 terabytes of data and around 40 billion rows with reasonable computing speed and latency, ClickHouse is ideal. Regarding the real-time query performance of ClickHouse, when using an API server to query it, I achieved query results in less than twenty milliseconds in some of my experiments with one billion rows. However, it depends on the scenario since ClickHouse has limitations in handling mutations. Additionally, one of ClickHouse's strengths is its compression capability. Our experimental server has only four terabytes, and ClickHouse effectively compresses data, allowing us to store large amounts of data at high speed. This compression efficiency is a significant advantage of using ClickHouse."

"We had a lot of troubles while deploying a whole cluster."

"Initially, I faced challenges integrating ClickHouse, particularly with inserting data from ActiveMQ, which caused duplicates. However, after adjusting the ClickHouse settings, the issue was resolved and there were no more duplicates."

"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."

"I would like ClickHouse to work more on integration with third-party tools."

"There are some areas where ClickHouse could improve. Specifically, we encountered incompatibilities with its SQL syntax when migrating queries from MySQL or SQL to ClickHouse. This difference in details made it challenging to figure out the exact issues. Additionally, we faced difficulties due to the lack of a proper Django driver for ClickHouse, unlike MySQL, which Django supports out of the box."

"There aren't too many improvements I'd suggest for ClickHouse as it covers all my needs. There are just a few technical issues. For example, sometimes, when you want to get unique values and use certain tables, they don't work as expected. But it's not a major problem."

"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."

"I'm not really able to customize it."

"The user interface could be a bit better."

"I'd like to see better memory management. I think that that's one of the few areas that Postgres does not handle as well as MySQL does or did."

"If it was free to use, it would be the perfect solution."

"The pricing could be better."

"The solution could improve the integration."

"PostgreSQL could improve by adding data warehousing tools."

"The performance of PostgreSQL could improve."

"ClickHouse has an open-source version, which is free to use and has almost all the features."

"For pricing, if you use the self-hosted version, it would be free. Cloud services pricing would be an eight out of ten. I try to minimize costs but still have to monitor usage."

"We used the free, community version of ClickHouse."

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."

"The tool is open-source."

"The tool is free."

"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."

"It is an open-source platform."

"The licensing model is good."

"We do not pay for licensing."

"It is free. In terms of operating costs, it basically needs the same platform on which Oracle runs."

"The solution requires a license."

"The tool is cheaply priced compared to other RDBMS providers in the market."

"PostgreSQL is a free and open-source database."

"Affordable solution."