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: September 2026).

Cassandra vs. SingleStore

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

Cassandra

Ranking in Vector Databases

11th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (5th)

SingleStore

Ranking in Vector Databases

9th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (9th)

Mindshare comparison

As of November 2026, in the Vector Databases category, the mindshare of Cassandra is 4.0%, up from 2.0% compared to the previous year. The mindshare of SingleStore is 3.5%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
SingleStore	3.5%
Cassandra	4.0%
Other	92.5%

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.

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

"The technical evaluation is very good."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"Cassandra is a stable solution."

"The most valuable features are the counter features and the NoSQL schema, and it also has good scalability because you can scale Cassandra to any infinite level."

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

"It's used as our cloud based backend store as a temporary cache and for storing data that streams through our data pipe."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

More Cassandra pros

"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."

"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'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 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."

"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."

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

"The paramount advantage is the exceptional speed."

More SingleStore pros

Cons

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

"We have had stability issues including out of memory issues and crashes with earlier versions of the product."

"The interface could definitely be improved. It's a technical database and for me the features are not user friendly."

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

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

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

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

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

More Cassandra cons

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

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

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

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

"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."

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

More SingleStore cons

Pricing and Cost Advice

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

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

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

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

"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."

"SingleStore is a bit expensive."

"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."

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

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

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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

15%

Comms Service Provider

10%

Construction Company

Manufacturing Company

Financial Services Firm

28%

Comms Service Provider

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	5

Questions from the Community

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...

What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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.

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...

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...

MongoDB Enterprise Advanced vs Cassandra

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Compared 8% of the time

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Compared 5% of the time

Redis vs SingleStore

Compared 5% of the time

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Compared 4% of the time

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Product Reports

Download Cassandra product report

Cassandra

October 2026

Download SingleStore product report

October 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.