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ClickHouse vs SingleStore comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

ClickHouse
Ranking in Vector Databases
11th
Average Rating
8.8
Number of Reviews
9
Ranking in other categories
Open Source Databases (8th)
SingleStore
Ranking in Vector Databases
13th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th)
 

Mindshare comparison

As of December 2024, in the Vector Databases category, the mindshare of ClickHouse is 2.4%, up from 2.3% compared to the previous year. The mindshare of SingleStore is 1.2%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Can set it up on computer and run queries without depending on the cloud
The tool is open-source, so you don't need to pay for the software itself. However, you need to consider hardware costs and maintenance. A small company can install it on a company computer. For larger companies, you might need to hire a team for maintenance and consider data safety and privacy issues. Integrating ClickHouse with other tools in our data stack was easy. It has native connections to many tools, such as Google and Amazon cloud solutions, and can easily connect with other databases. For beginners, the ease of use depends on your background. If you're familiar with relational databases, it's easy. If not, you might need to read the documentation or ask for support.
Hitesh Kunchakuri - PeerSpot reviewer
A reasonably priced product that offers good speed and seamless support
Currently, I can't think of any areas that require improvement because SingleStore was recently launched in the market. The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings. The current SingleStore model provides output based on the RANK function. If a user searches for a liquor bottle, then with all the data the product has, it will search for the liquor bottle in the data, and based on a match, the product has an algorithm to rank the product because of which the paragraph that has the best match will be ranked as a 100, the next one as 99, following which the next product will be ranked as 98 and so on. The output from the solution will fetch you all the 100 products that are available in a store, but sometimes a user might require a product with a 97 or 98 percent match from the DB, meaning the product doesn't always work to provide a 100 percent match, an area I feel that can be optimized in the product. Currently, SingleStore's features are excellent as it can read documents, images, and everything. The product works seamlessly for me.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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."
"It's easier to work with big data and calculations using the product."
"The tool is column-based and infinitely scalable."
"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."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"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's initial setup phase was pretty straightforward, with no complex processes."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"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."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
 

Cons

"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 would like ClickHouse to work more on integration with third-party tools."
"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."
"We had a lot of troubles while deploying a whole cluster."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"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."
"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."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
"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."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"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."
 

Pricing and Cost Advice

"We used the free, community version of ClickHouse."
"The tool is free."
"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."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"The tool is open-source."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"I would advise users to try the free 128GB version."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"The product's licensing is not expensive. It is comparable."
"SingleStore is a bit expensive."
"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."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Educational Organization
18%
Financial Services Firm
13%
Manufacturing Company
9%
Financial Services Firm
30%
Computer Software Company
14%
Manufacturing Company
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with ClickHouse?
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 ce...
What is your primary use case for ClickHouse?
I used ClickHouse to collect data, put it in the database, and then analyze it to find insights. The main advantage is that I can install it on my computer instead of using cloud-based solutions, s...
What do you like most about SingleStore DB?
The paramount advantage is the exceptional speed.
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
What needs improvement with SingleStore DB?
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...
 

Comparisons

 

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Sample Customers

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6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.
Find out what your peers are saying about ClickHouse vs. SingleStore and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.