Citus Data vs SingleStore comparison

Read 6 SingleStore reviews

2,326 Views
395 Comparison Views

100% willing to recommend

Citus Data

Comparison Buyer's Guide

Download the report

Executive Summary

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

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: January 2026).

Relational Databases Tools

Download the complete report

Helped 881,082 peers since 2012

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 (25th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th), Vector Databases (15th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 2.6%, up 1.9% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.0% mindshare, up 1.5% since last year.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Citus Data	2.6%
SQL Server	12.1%
Oracle Database	11.5%
Other	73.8%

Relational Databases Tools

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
SingleStore	3.0%
Amazon RDS	14.8%
MongoDB Atlas	12.7%
Other	69.5%

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

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.

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."

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

"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."

"The paramount advantage is the exceptional speed."

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

"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."

"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."

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."

"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."

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

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

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

"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."

"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."

Pricing and Cost Advice

"Citus Data is an open-source product."

"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."

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

"SingleStore is a bit expensive."

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

See which vendors are best for you

Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.

See recommendations

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

10%

Comms Service Provider

Consumer Goods Company

Financial Services Firm

30%

Computer Software Company

10%

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

Comparisons

CockroachDB vs Citus Data

Compared 21% of the time

Neon vs Citus Data

Compared 14% of the time

YugabyteDB vs Citus Data

Compared 14% of the time

SQL Server vs Citus Data

Compared 9% of the time

OpenText Analytics Database (Vertica) vs Citus Data

Compared 4% of the time

More Citus Data Competitors

ClickHouse vs SingleStore

Compared 8% of the time

SQL Server vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

OpenText Analytics Database (Vertica) vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Relational Databases Tools

Download Citus Data product report

Download SingleStore product report

Overview

Citus is a distributed database that extends PostgreSQL, allowing you to continue using all the powerful Postgres features while still scaling.

Whether you're running into a ceiling on a single node, or need more performance for real-time analytical queries Citus can help.

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.

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.

Relational Databases Tools