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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 (9th)
SingleStore
Ranking in Vector Databases
12th
Average Rating
8.8
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th)
 

Featured Reviews

Ayham Al-Adm - PeerSpot reviewer
Jul 28, 2024
Provides good performance for large data manipulation
For about six gigabytes, we took about two seconds to fetch all data at the maximum performance. Otherwise, it was really nice to have a medium CPU or database engine and resources. We don't have a really huge server; it's just traditional servers and traditional resources. ClickHouse is not a straightforward tool for anyone to use. Users need some time to switch from traditional things to study new concepts. We had just one client, Apache Superset. Apache Superset connects with just one connection but with too many requests. We had about 20 to 30 reports on the same page, and they work concurrently. The solution’s documentation is amazing. I would recommend the solution to other users. ClickHouse is the first step to the next generation of databases. When we deal with this amount of data and this performance, I think it's a respected technology. Overall, I rate the solution a nine out of ten.
RP
Jan 2, 2024
Supports in-memory data types, storing data on RAM for high performance
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. Also, technically, SingleStore needs more features on the SQL part. Most SQL boards work in MySQL, and SingleStore integrated all its sequel with MySQL, so nearly 99% of MySQL code runs on SingleStore. But features like TVF and UDL lack depth. Users have to walk into it, and SingleStore has minimal features there. IUDF, TVF, and stored procedures are not as advanced as SQL Server's. That's one thing I would like to see improved.

Quotes from Members

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

Pros

"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."
"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."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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 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 paramount advantage is the exceptional speed."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"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."
"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."
 

Cons

"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."
"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."
"I would like ClickHouse to work more on integration with third-party tools."
"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."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"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."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"We don't get good discounts in Pakistan."
"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."
"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."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
 

Pricing and Cost Advice

"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."
"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 open-source."
"The tool is free."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
"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."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"SingleStore is a bit expensive."
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Top Industries

By visitors reading reviews
Educational Organization
25%
Computer Software Company
22%
Financial Services Firm
9%
University
8%
Financial Services Firm
29%
Computer Software Company
14%
Manufacturing Company
6%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
We used the free, self-hosted community version of ClickHouse.
What needs improvement with ClickHouse?
ClickHouse has its own concept of database triggers and doesn't support traditional database triggers.
What is your primary use case for ClickHouse?
Our company had about nine platforms, each with its own database and data. We had to gather all these data in one database and just one table. We used Apache Superset to integrate this database wit...
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

Information Not Available
6Sense, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LiveRamp, Lumana, NBC, Outreach, Palo Alto Networks, Siemens, SiriusXM, SK Telecom, SKAI, Sony, STC, TATA, and ZoomInfo.
Find out what your peers are saying about ClickHouse vs. SingleStore and other solutions. Updated: July 2024.
802,829 professionals have used our research since 2012.