Cassandra vs SingleStore comparison

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Cassandra

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Executive SummaryUpdated on Mar 5, 2025

Cassandra and SingleStore are competing in database management systems. SingleStore shows superiority in performance and scalability based on data comparisons.

Features: Cassandra offers a robust architecture with fault-tolerance, peer-to-peer design, and ensures seamless data distribution across multiple centers. SingleStore provides real-time analytics, in-memory processing, and superior speed with its SQL support and compatibility.

Room for Improvement: Cassandra requires improvements in configuration and setup complexity, query optimization, and is limited by read speed. SingleStore could enhance support for varied data models, reduce licensing costs, and increase integration options with other systems.

Ease of Deployment and Customer Service: SingleStore provides simplified deployment with cloud-native options and responsive support. Cassandra's deployment necessitates more configuration, lacking the ease found with SingleStore, and offers limited customer support.

Pricing and ROI: Cassandra's open-source model minimizes initial costs and offers an attractive ROI from lower setup expenses. SingleStore's premium pricing is offset by its enhanced performance and scalability, presenting increased long-term ROI potential.

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

Cassandra vs. SingleStore

March 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

Cassandra

Ranking in Vector Databases

15th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

NoSQL Databases (4th)

SingleStore

Ranking in Vector Databases

13th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th)

Mindshare comparison

As of April 2025, in the Vector Databases category, the mindshare of Cassandra is 1.7%, down from 2.1% compared to the previous year. The mindshare of SingleStore is 1.6%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Q&A Highlights

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

Well-equipped to handle a massive influx of data and billions of requests

Featured Reviews

Himanshu Amodwala

Senior cloud solution architect at Microsoft

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.

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Yasin Sarı

Senior Data Analyst at a comms service provider with 1,001-5,000 employees

High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution

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 tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.

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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

"Some of the valued features of this solution are it has good performance and failover."

"The technical evaluation is very good."

"I'd rate the solution ten out of ten."

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"The time series data was one of the best features along with auto publishing."

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"We can add almost one million columns to the solution."

More Cassandra pros

"The paramount advantage is the exceptional speed."

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

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

Cons

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Fine-tuning was a bit of a challenge."

"Cassandra could be more user-friendly like MongoDB."

"The secondary index in Cassandra was a bit problematic and could be improved."

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"Interface is not user friendly."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

More Cassandra cons

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

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

"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."

"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."

Pricing and Cost Advice

"I don't have the specific numbers on pricing, but it was fairly priced."

"We are using the open-source version of Cassandra, the solution is free."

"I use the tool's open-source version."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"We pay for a license."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"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."

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

"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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Answers from the Community

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

2 out of 4 answers

Russell Rothstein

Founder and CEO at PeerSpot

Jan 27, 2020

Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.

Read full answer

reviewer1219965

Data Architect at a tech services company with 201-500 employees

Jan 27, 2020

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

Read full answer

See all 4 answers

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

15%

University

Comms Service Provider

Financial Services Firm

33%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Cassandra?

What is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

What needs improvement with Cassandra?

Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem. About a year ago, we were unable to recover data without help from a senior Dev...

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?

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Compared 7% of the time

MongoDB vs SingleStore

Compared 6% of the time

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Product Reports

Download Cassandra product report

Cassandra

April 2025

Download SingleStore product report

March 2025

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.