We use the solution not just as an analytics database but also as a data warehouse. A lot of our internal services communicate with the tool. Our analytics and ML teams also use the solution. It's the hub of our company.

It's easier to work with big data and calculations using the product. For example, we can easily calculate metrics around terabytes of data using ClickHouse. The dictionaries help us to make our analysts’ jobs faster and easier and give value to the business faster.

The clusters are not perfect. We had a lot of troubles while deploying a whole cluster. We must tune some sequences, so we must have experience with the product. I worked a lot with bare metal. However, working with the cloud is a little bit harder. When we need to start up and shut down some nodes, we need to start or shut down the whole cluster. It is not so in Databricks.

I have been using the solution for almost eight years.

There were a lot of bugs before. Now, it's less. Open-source tools contain bugs. Any technology created by humans will contain bugs. The bugs are critical sometimes, but they are always updated. I rate the stability an eight out of ten.

The tool is scalable. I rate the scalability a ten out of ten. We have 20 users in our organization.

The product provides a lot of community support. It is useful. We can also contact a private company that provides support for ClickHouse. The solution has a community chat in Telegram that works well. We find solutions easily when the problem is already mentioned by someone. In rare cases, the issues stay unresolved because of NDA.

The initial setup is easy for me because I have a lot of experience. Generally, when I mentor someone to deploy the whole cluster, it is difficult for them. It will not be hard to deploy one server or node because ClickHouse’s team has shown a great demo of deploying it as a service on Linux. It gets harder if we want to tune some small sequences to get more performance. Real-time models require experience. We can open some community chats and find help. The deployment can be done in a couple of minutes. It’s very fast.

The tool is free. It is open-sourced. However, if we do not know how to deploy it and are unwilling to support everything, we can contact the vendor and create a cloud version. It is cheap, but it depends on the scale.

We do not use the real-time features much. Usually, we work with big data. We do not need to work with big data in real-time. We use CatBoost with ClickHouse. I always recommend the tool to others based on their requirements. If you have trouble with your queries and think that ClickHouse is slow, please review your queries. Overall, I rate the solution a ten out of ten.

We use it to store live data and for tracking and monitoring every action on a PC, like which websites are opened, through Kubernetes and Google Chrome. Data is sent every second from ActiveMQ, and ClickHouse can insert millions of data points per millisecond.

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.

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.

I've been using ClickHouse for three years in a product-based company.

I have not faced any stability issues and I would rate it a seven out of ten.

It's a simple database, similar to MySQL, and can also be used as a NoSQL database. While ClickHouse provides most of the essential functions, learning and understanding some of its methods can be difficult.

ClickHouse is very scalable, and many companies, including Uber, are using it. For scalability, I would rate it an eight out of ten.

The ClickHouse support team is small but useful. I haven't needed to use their support often because I usually find solutions through ClickHouse Docs.

ClickHouse is easy to use, with a straightforward initial setup.

The return on investment is high and gives value for money.

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

Although I haven't used AI with ClickHouse extensively, it's a great option because ClickHouse can handle large data volumes and perform queries very quickly.

I would recommend ClickHouse to others, especially for real-time applications like chat, map locations, and AI tools. Compared to MySQL, ClickHouse handles large datasets and queries very quickly, making it a perfect choice.

Overall, I would rate ClickHouse a ten out of ten.

During my experience Clickhouse was used primary for companies analytics. At the same time I had a chance to apply it for various other use-case, such as log and storage metrics, Clickhouse as an ETL engine, monitorin, alerting and many more

ClickHouse is a user-friendly solution that tries to be compatible with SQL standards. It also tries to provide command-line tools, very nice formatting, libraries. And of course blazing speed it is main selling point of this technology

I would like ClickHouse to work more on integration with third-party tools. The solution has a lot of integrations, but most of them are not completed or production-ready.

The solution's setup requires some work and understanding. People at the company do not fully understand how to use ClickHouse. They try to use it like any relational database, which causes a lot of problems.

I have been using ClickHouse since 2018

We have experienced small bugs many times with the solution. Five years ago, the tool wasn't so stable. Now, it's better, but bugs still happen.

I rate the solution a seven out of ten for stability.

ClickHouse is a very scalable solution because it is designed to be scalable out of the box. There are some issues with scalability because, by design, ClickHouse does not support data rebalancing. I work at a start-up where around ten users use the solution.

I rate the solution’s scalability a nine out of ten.

I have never interacted with the solution's technical support because I usually use the open-source version of ClickHouse. You can post your issue on GitHub at any time, and you will usually get a response.

Currently, ClickHouse provides a cloud-based solution that you can use in the cloud. ClickHouse has an open-source version, which is free to use and has almost all the features.

ClickHouse provides the best real-time query performance in the market if it is used properly. Generally, ClickHouse is not so easy to use because it's designed in such a way that you should be aware of the infrastructure. The solution is complicated, but it is easy for someone with experience and knowledge. I would recommend the solution to other users.

ClickHouse is a magnificent solution, but users should first read a few articles about it to understand how to use it properly and how not to use it. Users should take a learning course to be aware of its architecture and to use it properly.

Overall, I rate the solution ten out of ten.