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: February 2026).

Cassandra vs. SingleStore

February 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

Cassandra

Ranking in Vector Databases

14th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (7th)

SingleStore

Ranking in Vector Databases

17th

Average Rating

8.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (17th)

Mindshare comparison

As of March 2026, in the Vector Databases category, the mindshare of Cassandra is 2.6%, up from 1.7% compared to the previous year. The mindshare of SingleStore is 2.6%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	2.6%
SingleStore	2.6%
Other	94.8%

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

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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

"The technical evaluation is very good."

"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."

"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."

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

"A consistent solution."

"Our primary use case for the solution is testing."

"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."

More Cassandra pros

"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."

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

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

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

Cons

"The solution is limited to a linear performance."

"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."

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

"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."

"The disc space is lacking. You need to free it up as you are working."

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

"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."

More Cassandra cons

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

"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."

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

"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."

"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."

Pricing and Cost Advice

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

"We pay for a license."

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

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

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

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

"SingleStore is a bit expensive."

"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."

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

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

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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

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

14%

Computer Software Company

Comms Service Provider

Retailer

Financial Services Firm

30%

Computer Software Company

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	4

Questions from the Community

What do you like most about Cassandra?

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-ti...

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

MongoDB Enterprise Advanced vs Cassandra

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Product Reports

Download Cassandra product report

Cassandra

March 2026

Download SingleStore product report

February 2026

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 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

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

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.