Citus Data vs SingleStore comparison

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Citus Data

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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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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 (31st)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

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

Mindshare comparison

While both are Databases solutions, they serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 1.9%, down 2.6% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.7% mindshare, up 2.7% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Citus Data	1.9%
Oracle Database	10.3%
SQL Server	10.2%
Other	77.6%

Relational Databases Tools

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
SingleStore	3.7%
Amazon RDS	12.6%
MongoDB Atlas	9.8%
Other	73.9%

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.

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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.

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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

"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."

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

"SingleStore's speed and scalability have made a significant difference for our team, as we scaled without major performance issues and reports, dashboards, and data segments that previously took much longer to generate are now produced in real time, which overall improves the user experience and helps teams access insights faster for operational and decision-making."

"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."

"After moving to SingleStore, we definitely managed to speed things up and reduce costs because we do not need to have many tables split by month as in SQL Server."

"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."

More SingleStore pros

Cons

"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."

"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."

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

"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."

"If you are going for self-managed, you need to set up a solid backup pipeline with SingleStore support, which was my only dissatisfaction, but after doing what was needed, we have very good backup and restore pipelines running, and in Helios, everything is perfect."

"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."

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

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

More SingleStore cons

Pricing and Cost Advice

"Citus Data is an open-source product."

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

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

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

"SingleStore is a bit expensive."

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

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Construction Company

13%

Comms Service Provider

Financial Services Firm

28%

Comms Service Provider

Outsourcing Company

Computer Software 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

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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.

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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 12% of the time

SQL Server vs Citus Data

Compared 10% of the time

Oracle Database vs Citus Data

Compared 10% of the time

YugabyteDB vs Citus Data

Compared 10% of the time

More Citus Data Competitors

MongoDB Atlas vs SingleStore

Compared 7% of the time

Amazon RDS vs SingleStore

Compared 5% 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

Relational Databases Tools

Download Citus Data product report

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 provides a flexible, usage-based pricing model for its Helios cloud service, offering tailored plans for diverse industries including finance and technology.

With a focus on high speed and scalability, SingleStore is engineered for cloud environments, supporting transactional and analytical workloads. Its distributed architecture enables rapid data processing, making it a choice for businesses that demand real-time insights. Active in over 50 countries, SingleStore counts major financial institutions and Fortune 500 companies among its 400+ clients, highlighting its global reach and industry versatility. Customers benefit from efficient data storage, integration with platforms like AWS, Azure Data Factory, Kafka, and enhanced performance in complex data-driven applications.

What key features set SingleStore apart?

High Speed: Processes billions of records with low latency for real-time analytics.
Scalability: Distributed architecture supports large datasets and complex queries.
MySQL Compatibility: Maintains ease of use with familiar tools and languages.
Reliability: In-memory storage with robust failover mechanisms.
Simplified Operations: Reduces complexity in data handling and speeds up processing.

What benefits or ROI should users consider in reviews?

Performance Boost: Enhanced speed in analytics and transactions.
Operational Efficiency: Streamlining data processes for quicker decision-making.
Cost Management: Tailored pricing based on actual usage.
Real-time Insights: Immediate access to data for strategic actions.
Integration Flexibility: Seamless compatibility with popular cloud platforms.

SingleStore is implemented across sectors such as banking, streaming, and eCommerce, optimizing performance in video platforms and financial systems. By supporting infrastructure migration and enabling real-time dashboards, it provides businesses with the agility to handle large volumes of data efficiently, making it ideal for modern data-driven industries.

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