ClickHouse vs SingleStore comparison

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

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

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

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

"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 tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."

"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."

"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."

"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"The paramount advantage is the exceptional speed."

"The product can automatically reinstall and reconfigure in case of a shutdown."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"The product's initial setup phase was pretty straightforward, with no complex processes."

"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."

"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."

"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."

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

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

"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."

"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."

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

"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"We don't get good discounts in Pakistan."

"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

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

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

"The tool is open-source."

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

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

"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."

"The tool is free."

"I would advise users to try the free 128GB version."

"The price of the product is okay compared to the other available solutions in the market. SingleStore is a reasonably priced product, considering the functions it offers."

"SingleStore is a bit expensive."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

"The product's licensing is not expensive. It is comparable."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."