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DataStax Enterprise vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
DataStax Enterprise boosts ROI with reduced deployment time, 99.9% uptime, faster product development, and support for version updates.
Sentiment score
7.5
SingleStore offers cost efficiency, versatility, and scalability, providing seamless setup and substantial ROI with minimal hassle and complexity.
We have seen a return on investment with DataStax Enterprise as we saved a lot of money and time, despite investing more on infrastructure; our ongoing business success with a 99.9% uptime helps us earn more.
Senior database engineer at ToTheNew
Earlier it was around 15 months, and we have been able to deploy and scale our application within 10 months.
Software Developer at a consultancy with 11-50 employees
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.
Senior Software Engineer at Deloitte
I have seen a return on investment in terms of time saved.
Devops Engineer at a tech vendor with 51-200 employees
The objective was to scale as data loads with high-performing query model responses.
Senior Software Engineer at Honeywell
 

Customer Service

Sentiment score
8.9
DataStax Enterprise's support is responsive, proactive, and efficient, scoring 9/10 for excellent escalation and emergency handling.
Sentiment score
7.8
SingleStore offers 24/7 support with a dedicated team, interactive UI, and personalized service, receiving high user satisfaction.
The escalation process is excellent, the best I've seen.
Senior Software Engineer at Deloitte
I would rate the customer support nine out of 10.
Senior Engineer at a financial services firm with 10,001+ employees
one of my colleagues contacted them and found it to be pretty efficient
Software Developer at a consultancy with 11-50 employees
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
Devops Engineer at a tech vendor with 51-200 employees
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Senior Software Engineer at Honeywell
 

Scalability Issues

Sentiment score
8.3
DataStax Enterprise excels in scalability, auto-scaling, and fault tolerance, optimizing resource use for multi-region deployments.
Sentiment score
7.3
SingleStore scales efficiently with minimal downtime, offering seamless integration and optimal performance, ideal for organizations without budget constraints.
DataStax Enterprise's scalability is very fast with linear scalability and hence is very scalable.
Senior Software Engineer at Deloitte
The active-active architecture helped us really scale and provide data to both Singapore and Indian users.
Senior Engineer at a financial services firm with 10,001+ employees
It auto-scales, and as user demands increase, we can gather more compute resources from the cloud and speed up the servers.
Software Developer at a consultancy with 11-50 employees
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
Senior Software Engineer at Honeywell
 

Stability Issues

Sentiment score
9.1
DataStax Enterprise is praised for its stability and reliability, efficiently supporting organizations with terabyte to petabyte scalability.
Sentiment score
8.3
SingleStore is highly rated for stability, ensuring continuous operation despite errors, with strong redundancy and maintenance capabilities.
DataStax Enterprise provides enough stability for our organization, and scaling can be done up to terabytes and petabytes.
Senior Engineer at a financial services firm with 10,001+ employees
I have not seen any downtime.
Senior Software Engineer at Honeywell
 

Room For Improvement

DataStax Enterprise should improve hybrid integration, compatibility, support, cost-effectiveness, setup ease, OpsCenter UI, and functionality.
SingleStore faces challenges in documentation, SQL features, integration, and support, with room for improvement in various areas.
For example, it can implement some cost optimization where the license can be expensive, and compared to open-source Cassandra, cost is a concern.
Senior Engineer at a financial services firm with 10,001+ employees
Better compatibility with prior versions in terms of codebase would be appreciated as another improvement needed for DataStax Enterprise.
Senior Software Engineer at Deloitte
I believe there is always some scope of improvement and catching up with the latest set of features.
staff engineer at a media company with 1,001-5,000 employees
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
Senior Software Engineer at Honeywell
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
Devops Engineer at a tech vendor with 51-200 employees
 

Setup Cost

SingleStore offers transparent pricing, with cost-effective enterprise licenses and free licensing for small self-managed installations.
For smaller organizations working under a tight budget, it might not be very affordable compared to other alternatives.
Senior Software Engineer at Deloitte
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
Senior Software Engineer at Honeywell
 

Valuable Features

DataStax Enterprise offers scalability, security, real-time replication, multi-cloud support, and ease for SQL users, enhancing productivity and uptime.
SingleStore excels in speed, distributed architecture, and usability, offering fast data handling, MySQL support, and robust failover.
DataStax Enterprise has positively impacted my organization because during research for a NoSQL database, developers are very positive about using DataStax Enterprise because of its really easy setup and the querying to the database is very efficient.
Software Developer at a consultancy with 11-50 employees
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.
Senior Software Engineer at Deloitte
I can confirm that the outcomes of using DataStax Enterprise show that our database uptime has increased drastically to around 99.9%.
Senior database engineer at ToTheNew
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.
Senior Software Engineer at Honeywell
SingleStore has impacted my organization positively because the output and performance of the app have been improved.
Devops Engineer at a tech vendor with 51-200 employees
 

Categories and Ranking

DataStax Enterprise
Ranking in Vector Databases
15th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
5
Ranking in other categories
NoSQL Databases (10th)
SingleStore
Ranking in Vector Databases
16th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Database as a Service (DBaaS) (12th)
 

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of DataStax Enterprise is 1.8%, up from 0.5% compared to the previous year. The mindshare of SingleStore is 3.0%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
DataStax Enterprise1.8%
SingleStore3.0%
Other95.2%
Vector Databases
 

Featured Reviews

Suzanne  Kimono - PeerSpot reviewer
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.
Kelvin  Ben - PeerSpot reviewer
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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893,244 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Retailer
10%
Manufacturing Company
10%
Media Company
10%
Financial Services Firm
29%
Computer Software Company
8%
Comms Service Provider
8%
Outsourcing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise5
By reviewers
Company SizeCount
Small Business5
Large Enterprise4
 

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...
What needs improvement with DataStax Enterprise?
DataStax Enterprise can provide other solutions that are well-suited for other use cases such as an auditing system or writing systems. Additionally, many other details can be provided for monitori...
What is your primary use case for DataStax Enterprise?
My main use case for DataStax Enterprise is handling the high-volume transactional data in a distributed system. I work on an application where we need to store and process a large amount of real-t...
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.
What needs improvement with SingleStore DB?
I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good. The data which is sent to DataDog sometimes does not match with the SingleStore dash...
What is your primary use case for SingleStore DB?
My main use case for SingleStore is for our data retention and load management. We have infrastructure wherein the user's data are used for quick search, which means the searching functionality in ...
 

Overview

 

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.
Find out what your peers are saying about DataStax Enterprise vs. SingleStore and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.