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: June 2025).

Cassandra vs. SingleStore

June 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

14th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

NoSQL Databases (6th)

SingleStore

Ranking in Vector Databases

15th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th)

Mindshare comparison

As of July 2025, in the Vector Databases category, the mindshare of Cassandra is 1.8%, down from 1.9% compared to the previous year. The mindshare of SingleStore is 1.9%, up from 1.0% 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

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

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

"I am getting much better performance than relational databases."

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

"A consistent solution."

"I am satisfied with the performance."

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

More Cassandra pros

"The paramount advantage is the exceptional speed."

"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."

"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."

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

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

Cons

"The solution is limited to a linear performance."

"We found some issues with the batch inserts when the data volume is large."

"The solution doesn't have joins between tables so you need other tools for that."

"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."

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

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

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

"There could be more integration, and it could be more user-friendly."

More Cassandra cons

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

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

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

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

"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."

Pricing and Cost Advice

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

"We pay for a license."

"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."

"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."

"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."

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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 a tech company with 51-200 employees

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

14%

Comms Service Provider

Retailer

Financial Services Firm

33%

Computer Software Company

13%

University

Manufacturing 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?

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 e...

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?

More Cassandra Competitors

Comparisons

MongoDB vs Cassandra

Compared 14% of the time

Couchbase vs Cassandra

Compared 13% of the time

ClickHouse vs Cassandra

Compared 12% of the time

ScyllaDB vs Cassandra

Compared 8% of the time

Chroma vs Cassandra

Compared 7% of the time

ClickHouse vs SingleStore

Compared 14% of the time

SQL Server vs SingleStore

Compared 9% of the time

CockroachDB vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 7% of the time

Oracle Database vs SingleStore

Compared 6% of the time

More SingleStore Competitors

Product Reports

Download Cassandra product report

Cassandra

July 2025

Download SingleStore product report

June 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 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.