DataStax Enterprise vs SingleStore comparison

IBM and SingleStore are both solutions in the Vector Databases category. IBM is ranked #15 with an average rating of 8.0, while SingleStore is ranked #17. IBM holds a 1.4% mindshare in VD, compared to SingleStore’s 2.6% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

DataStax Enterprise

Read 1 DataStax Enterprise review

711 Views
398 Comparison Views

100% willing to recommend

SingleStore

Read 7 SingleStore reviews

2,527 Views
910 Comparison Views

100% willing to recommend

DataStax Enterprise

SingleStore

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and SingleStore are competing in the database management systems category. SingleStore appears to have the upper hand due to its high processing speed and straightforward integration capabilities.

Features: DataStax Enterprise is valued for robust analytics, data replication, and scalability. SingleStore stands out with real-time processing, seamless cloud integration, and straightforward setup.

Ease of Deployment and Customer Service: DataStax Enterprise offers comprehensive support and flexible deployment, enhancing onboarding. SingleStore provides an efficient cloud-based deployment model for quick and easy initial setup.

Pricing and ROI: DataStax Enterprise incurs higher setup costs but provides long-term value through scalable solutions. SingleStore requires higher initial investment but offers fast processing that reduces operational costs.

To learn more, read our detailed Vector Databases Report (Updated: March 2026).

Buyer's Guide

Vector Databases

March 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

DataStax Enterprise

Ranking in Vector Databases

15th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

NoSQL Databases (14th)

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 DataStax Enterprise is 1.4%, up from 0.4% 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 (%)
DataStax Enterprise	1.4%
SingleStore	2.6%
Other	96.0%

Vector Databases

Featured Reviews

Suzanne Kimono

Senior Software Engineer at Deloitte

Continuous data access has ensured high uptime and has supported real-time transactional processing

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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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

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very 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."

"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."

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

"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 paramount advantage is the exceptional speed."

Cons

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"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."

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

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

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

"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

Information not available

"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."

"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."

"SingleStore is a bit expensive."

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Top Industries

By visitors reading reviews

Retailer

11%

Financial Services Firm

11%

Manufacturing Company

11%

Computer Software Company

10%

Financial Services Firm

30%

Computer Software Company

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	4

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...

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What needs improvement with DataStax Enterprise?

I think DataStax Enterprise can be improved by having a hybrid on-prem and cloud solution with Astra. Better compatibility with prior versions in terms of codebases should also be improved. More wa...

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What is your primary use case for DataStax Enterprise?

DataStax Enterprise serves as the primary database for all transactional processing in my organization. DataStax Enterprise provides linear scale as well as multi-data center real-time replication ...

See all answers

What is your experience regarding pricing and costs for SingleStore DB?

My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups, but for my organization, the cost is affordable and cost-effective.

See all answers

What needs improvement with SingleStore DB?

SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS. Also, error handling needs attention. When it fai...

See all answers

What is your primary use case for SingleStore DB?

My main use case for SingleStore is real-time analytics and data storage and serving for my ML workloads. It enables me to run low-latency analytics and model-driven use cases at scale, which is qu...

See all answers

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Compared 12% of the time

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Compared 11% of the time

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Compared 10% of the time

Microsoft Azure Cosmos DB vs DataStax Enterprise

Compared 3% of the time

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Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

Supabase Vector vs SingleStore

Compared 5% of the time

SQL Server vs SingleStore

Compared 5% of the time

MongoDB Atlas vs SingleStore

Compared 5% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

March 2026

Download DataStax Enterprise product report

Buyer's Guide

SingleStore

February 2026

Download SingleStore product report

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

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.

SingleStore

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

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.

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