ClickHouse vs SingleStore comparison

ClickHouse and SingleStore are both solutions in the Vector Databases category. ClickHouse is ranked #7 with an average rating of 8.6, while SingleStore is ranked #15 with an average rating of 8.0. ClickHouse holds a 4.7% mindshare in VD, compared to SingleStore’s 2.3% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

ClickHouse

Read 21 ClickHouse reviews

3,722 Views
1,489 Comparison Views

100% willing to recommend

SingleStore

Read 6 SingleStore reviews

2,326 Views
791 Comparison Views

100% willing to recommend

ClickHouse

SingleStore

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Executive SummaryUpdated on Nov 23, 2025

SingleStore and ClickHouse are competing products in the database management category, each offering distinct advantages. SingleStore might have the upper hand for enterprise users emphasizing performance and support, whereas ClickHouse stands out for its analytical processing features.

Features: SingleStore provides real-time data analytics, is optimized for transactional workloads with support for high concurrency, and features a robust portal for managing deployments. ClickHouse delivers fast performance for online analytical processing, excels in large-scale data analysis, and offers features like real-time query performance and efficient column-row searching strategies.

Room for Improvement: SingleStore could enhance its user interface to simplify data management and expand integration capabilities with varied external tools. It also might improve cost flexibility for broader user adoption. ClickHouse could benefit from refining its support documentation and easing technical complexity to lower the onboarding barrier for less technical users. Furthermore, it could enhance mutation handling for more comprehensive data processing capabilities.

Ease of Deployment and Customer Service: SingleStore typically offers comprehensive customer support and extensive documentation, making deployment smoother for enterprises. ClickHouse might demand deeper technical expertise, potentially impacting deployment ease, but it provides a more lightweight, open-source approach conducive to customization by experienced users.

Pricing and ROI: SingleStore generally requires higher initial setup costs, aiming to deliver ROI through enhanced operational efficiency and productivity. ClickHouse, often more cost-effective initially, appeals to businesses prioritizing lower entry costs though the ROI varies based on the implementation's complexity.

To learn more, read our detailed ClickHouse vs. SingleStore Report (Updated: December 2025).

Buyer's Guide

ClickHouse vs. SingleStore

December 2025

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Review summaries and opinions

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

Categories and Ranking

ClickHouse

Ranking in Vector Databases

7th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (4th)

SingleStore

Ranking in Vector Databases

15th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th)

Mindshare comparison

As of January 2026, in the Vector Databases category, the mindshare of ClickHouse is 4.7%, up from 2.4% compared to the previous year. The mindshare of SingleStore is 2.3%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
ClickHouse	4.7%
SingleStore	2.3%
Other	93.0%

Vector Databases

Featured Reviews

Yush Mittal

Level 2 Software Engineer at a computer software company with 201-500 employees

Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup

ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.

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Vignesh KR

Solution Architect at Wipro Limited

An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance

Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

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Quotes from Members

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

Pros

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

"We moved away from Redshift to ClickHouse because of the integration and the flexibility that it provides, which best suited our use case."

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

"ClickHouse is very easy to use; one of the good features is that it has joins, which were not present in Druid, and Druid was quite expensive, especially with our applications at Sam's Club utilizing ClickHouse very quickly."

"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."

"There is no better option than ClickHouse in all OLAP-based databases, so I think it is best to use ClickHouse in that regard."

"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."

"ClickHouse provides responses within a few seconds, typically two to three seconds, which is impressive."

More ClickHouse pros

"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."

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

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

Cons

"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."

"I chose nine out of ten because, as I mentioned, the improvement side and the ten thousand partition limit created issues that we were hitting quite frequently, but with some schema manipulations we did manage to find a workaround, although that could have been avoided had things been better documented on how we could have solved this problem in a different approach, which took some bandwidth."

"We would like to have fuzzy search capabilities in ClickHouse like we had with Kibana because there are scenarios where we cannot search keywords fuzzily in ClickHouse, whereas Elasticsearch allows that, and in such cases, Elasticsearch outperforms ClickHouse."

"The open-source version of ClickHouse is not very scalable."

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

"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."

"ClickHouse can be improved, and the main challenge I see is its operational complexity."

More ClickHouse cons

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

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

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

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

"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."

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

Pricing and Cost Advice

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

"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 free."

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

"The tool is open-source."

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

16%

Manufacturing Company

Comms Service Provider

Financial Services Firm

30%

Computer Software Company

10%

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?

My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...

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What needs improvement with ClickHouse?

ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...

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What is your primary use case for ClickHouse?

My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...

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Product Reports

Buyer's Guide

ClickHouse

January 2026

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Buyer's Guide

SingleStore

January 2026

Download SingleStore product report

Overview

ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.

ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.

What features make ClickHouse outstanding?

Speed and Scalability: Enables rapid deployment and scalability, particularly on Kubernetes.
SQL Compatibility: Aligns with SQL standards for flexible database management.
Column-based Structure: Offers efficient data compression and quick query performance.
Integration Support: Works with Kafka, Tableau, and other popular platforms.
Data Deduplication: Manages complex data duplication efficiently.

What benefits should users consider?

Cost-Efficiency: Reduces expenses while managing large datasets effectively.
Real-Time Analytics: Provides fast data processing for real-time insights.
Flexibility: Offers multiple integration points and compatibility options.
Robust Documentation: Backed by an active development community, ensuring comprehensive support.

ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.

ClickHouse

SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/

SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.

What are the key features of SingleStore?

MySQL Compatibility: Eases the learning curve for users.
Built-in Pipelines: Connects to S3, Kafka, and more.
High Concurrency: Processes billions of records swiftly.
Replication & Failover: Enhances speed and reliability.
In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

Automatic Reconfiguration: Simplifies management tasks.
Impressive SQL Performance: Supports complex queries efficiently.
Scalability: Handles large datasets with a multi-node setup.

Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.

SingleStore

Sample Customers

Information Not Available

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.

Buyer's Guide

ClickHouse vs. SingleStore

December 2025

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