Citus Data vs SingleStore comparison

Why PeerSpot?

The compared Citus Data and SingleStore solutions aren't in the same category. Citus Data is ranked #32 in SQL , and holds a 2.0% mindshare in the category. SingleStore is ranked #9 in DS , with an average rating of 8.6, and holds a 3.7% mindshare. Additionally, 100% of Citus Data users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

Citus Data

Read 3 Citus Data reviews

2,159 Views
2,029 Comparison Views

100% willing to recommend

SingleStore

Read 11 SingleStore reviews

5,175 Views
1,449 Comparison Views

100% willing to recommend

Citus Data

SingleStore

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Executive Summary

We performed a comparison between Citus Data and SingleStore based on real PeerSpot user reviews.

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Relational Databases Tools

September 2026

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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

Citus Data

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (32nd)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (9th), Vector Databases (10th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 2.0%, down 2.6% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.7% mindshare, up 2.6% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Citus Data	2.0%
SQL Server	10.3%
Oracle Database	10.2%
Other	77.5%

Relational Databases Tools

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
SingleStore	3.7%
Amazon RDS	12.8%
MongoDB Atlas	10.6%
Other	72.9%

Database as a Service (DBaaS)

Featured Reviews

Arucy Lionel

Co-Founder at Afriziki

Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management

There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward. Currently, setting up a multi-node environment is challenging. It's a bit tricky. Installation on each PostgreSQL node can lead to communication issues between nodes. An automatic rebalancing feature would be a significant improvement. Currently, I have to manually command the rebalance. It would be more convenient if it was rebalanced automatically. The dashboard and monitoring capabilities are good, but it would be helpful to have an integrated availability dashboard.

Read full review

Kelvin Ben

Senior Software Engineer at Honeywell

Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data

The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

Read full review

Quotes from Members

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

Pros

"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."

"The solution is competitive with Mongo, MySQL, and maybe even Oracle."

"Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state."

"It's very straightforward to implement the solution. It took us two days to set up everything."

"SingleStore is a pretty good database engine set up to handle very large loads of both transactions and data, and it is very easy to use."

"MemSQL is a very powerful database."

"SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone."

"SingleStore has impacted my organization positively because the output and performance of the app have been improved."

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

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

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

"The paramount advantage is the exceptional speed."

More SingleStore pros

Cons

"Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."

"More features in monitoring and the reporting could make it better."

"There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward."

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

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."

"SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time."

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

"In my opinion, SingleStore could be improved, and we are talking about this directly with SingleStore."

"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."

"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."

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

More SingleStore cons

Pricing and Cost Advice

"Citus Data is an open-source product."

"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."

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

"SingleStore is a bit expensive."

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Construction Company

13%

Comms Service Provider

10%

Financial Services Firm

27%

Comms Service Provider

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	5

Questions from the Community

Ask a question

Earn 20 points

What is your experience regarding pricing and costs for SingleStore DB?

The setup cost was surprisingly good, and our transfer to Helios was almost seamless, as far as databases go, and it was not expensive.

See all answers

What needs improvement with SingleStore DB?

In my opinion, SingleStore could be improved, and we are talking about this directly with SingleStore. I have a relationship with their employees who are in California, and we are gradually improvi...

See all answers

What is your primary use case for SingleStore DB?

The primary use case for SingleStore in my company is a project to migrate a large system from MS SQL to SingleStore. Specifically, I am currently migrating the data insert process from MS SQL Serv...

See all answers

Comparisons

CockroachDB vs Citus Data

Compared 14% of the time

YugabyteDB vs Citus Data

Compared 11% of the time

SQL Server vs Citus Data

Compared 10% of the time

Oracle Database vs Citus Data

Compared 10% of the time

Infobright DB vs Citus Data

Compared 2% of the time

More Citus Data Competitors

MongoDB Atlas vs SingleStore

Compared 8% of the time

Amazon RDS vs SingleStore

Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

Redis vs SingleStore

Compared 5% of the time

Cassandra vs SingleStore

Compared 4% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

September 2026

Download Citus Data product report

Buyer's Guide

SingleStore

August 2026

Download SingleStore product report

Overview

Citus Data transforms PostgreSQL into a distributed database, offering scalability for modern applications. It's designed for handling large data volumes by efficiently distributing workloads and providing fault-tolerant solutions that support business growth and operational efficiency.

As an extension for PostgreSQL, Citus Data combines the performance and power of PostgreSQL with the capability to scale across many nodes. This database offers full SQL functionality while distributing queries across multiple servers to manage large datasets. Known for its ability to handle both OLTP and analytical workloads, Citus Data enables businesses to achieve horizontal scalability with ease. The transparency in architectural configuration and integration with existing PostgreSQL tools make it a practical choice for data-driven organizations seeking performance and reliability.

What are the key features of Citus Data?

Distributed PostgreSQL: Transforms PostgreSQL into a distributed database, allowing horizontal scaling.
Real-Time Analytics: Supports real-time analytical queries across big data without significant latency.
Fault-Tolerance: Offers high availability with transparent sharding and replication strategies.
Elastic Scale-Out: Seamlessly adds nodes to your database to manage increasing loads without downtime.
Full SQL Support: Preserves full SQL functionality, making it easy to integrate with existing systems and tools.

What are the benefits and ROI of using Citus Data?

Scalability: Easily scales to meet expanding data requirements, reducing infrastructure limitations.
Cost-Efficiency: Helps lower costs by utilizing commodity hardware for scaling instead of expensive systems.
Performance Optimization: Improves data processing performance, which enhances end-user experiences.
Reduced Complexity: Simplifies operational management through automated distribution and easy node management.

In industries such as e-commerce, Citus Data is implemented to manage large-scale transactional data while providing real-time analytics for business insights. In finance, it supports high-frequency trading platforms, ensuring quick query responses under heavy loads. It also finds applications in healthcare, managing patient data securely and efficiently. For telecommunications, it powers data warehouses handling extensive user metadata. Each industry benefits from its scalable architecture and efficient data management capabilities.

Citus Data

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

Cloud Flare, Agari, Mix Rank, Heap

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

Relational Databases Tools

September 2026

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