Couchbase Capella vs SingleStore comparison

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Couchbase Capella

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Couchbase Capella and SingleStore based on real PeerSpot user reviews.

Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Couchbase Capella vs. SingleStore Report (Updated: August 2026).

Couchbase Capella vs. SingleStore

August 2026

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Helped 908,834 peers since 2012

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

Couchbase Capella

Ranking in Database as a Service (DBaaS)

15th

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

AI Data Analysis (27th)

SingleStore

Ranking in Database as a Service (DBaaS)

9th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Vector Databases (11th)

Mindshare comparison

As of August 2026, in the Database as a Service (DBaaS) category, the mindshare of Couchbase Capella is 1.8%, up from 1.0% compared to the previous year. The mindshare of SingleStore is 3.6%, up from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
SingleStore	3.6%
Couchbase Capella	1.8%
Other	94.6%

Database as a Service (DBaaS)

Featured Reviews

SupriyaKulkarni

Devops Specialist at Amdocs

Good GUI, easy to learn, and simple to install

The architecture is complex. I do understand that. However, the GUI is very user-friendly. Sometimes all these things are a little difficult to understand for a person who is not experienced in Couchbase. There is a constant requirement to upgrade the versions. We need to constantly keep on upgrading the latest version for the newest one. Currently, we are dealing with an issue where some of the servers are on the 6.5 version, and a few have moved to 7.5. So we are in a mixed mode right now. We are having a high IO issue on our servers, which we are already dealing with. We have these cases with Couchbase, with Red Hat, et cetera. We feel like this constant need to upgrade is something that is very mundane yet a very difficult task. If you have three clusters, which have around thirty nodes, the data is quite sensitive. Whenever there is Couchbase upgrade that is going on, we see that our SR is dropped. The purchase rate and success rate drop. This affects our business and the clients. Rebalancing could be improved. I find it to be a very slow process when it comes to rebalancing the clusters. If you talk about other architectures like Oracle, they are pretty fast. Couchbase is a little slower. Rebalancing, taking the node out, doing the upgrade, putting it back, rebalancing it, is a very difficult and cumbersome. For Oracle, we have been running on version 19.5 for the past five years. There were absolutely no issues. Yet for Couchbase, every six months, we have to go do the upgrade.

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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 way the nodes are managed is interesting."

"The initial setup was straightforward."

"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."

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

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

"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 paramount advantage is the exceptional speed."

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

"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."

"MemSQL is a very powerful database."

More SingleStore pros

Cons

"Rebalancing could be improved."

"The product could be improved by including a log section for tracking activities, enhancing database integration, and providing more transparency regarding pricing and monitoring activities."

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

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

"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."

"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."

"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."

More SingleStore cons

Pricing and Cost Advice

Information not available

"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."

"SingleStore is a bit expensive."

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

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Top Industries

By visitors reading reviews

Construction Company

18%

Computer Software Company

11%

Manufacturing Company

11%

Performing Arts

Financial Services Firm

28%

Computer Software Company

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	5

Questions from the Community

What needs improvement with Couchbase Capella?

What is your primary use case for Couchbase Capella?

The solution is basically used to support our ordering system, which generates a huge number of orders for our customers.

What advice do you have for others considering Couchbase Capella?

We are Counchbase customers. Depending on your application, it is good to use Couchbase where you have high OLTP systems where you know there will be constant data loading, deleting, et cetera, hap...

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?

Improvement for SingleStore is a tough question, as I think many of the new features are taking this path and allowing more AI and AI-related capabilities, which include RAG, support, and specific ...

What is your primary use case for SingleStore DB?

SingleStore serves as our main production database, which includes online transaction processing, OLTP, data management, streaming, Kafka streams, AWS S3 streams, and data manipulation and statisti...

Google Cloud Spanner vs Couchbase Capella

Comparisons

Compared 18% of the time

Microsoft Azure SQL Database vs Couchbase Capella

Compared 17% of the time

MongoDB Atlas vs Couchbase Capella

Compared 13% of the time

Redis vs Couchbase Capella

Compared 11% of the time

Qlik Sense vs Couchbase Capella

Compared 6% of the time

More Couchbase Capella Competitors

MongoDB Atlas vs SingleStore

Compared 9% of the time

Amazon RDS vs SingleStore

Compared 6% of the time

Redis vs SingleStore

Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

ClickHouse vs SingleStore

Compared 4% of the time

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Product Reports

Database as a Service (DBaaS)

August 2026

Download Couchbase Capella product report

Download SingleStore product report

July 2026

Interactive Demo

Couchbase

Demo not available

Overview

Couchbase Capella is a fully managed NoSQL DBaaS designed for optimal cloud-native performance. It integrates high-speed and flexible JSON applications with real-time analytics, supporting billion-scale vector search.

This platform is tailored for cloud environments, offering enhanced operational efficiency. It supports trusted mobile NoSQL for always-on apps and real-time JSON-native analytics without ETL processes. Couchbase Capella is unique in managing the complete data lifecycle for RAG and agentic systems, providing contextual memory and response validation, facilitating quick and cost-effective development of AI-driven applications.

What are the standout features of Couchbase Capella?

Fully Managed DBaaS: Removes the complexity of database management with automated processes.
Cloud-Native Performance: Optimizes speed and flexibility for internet applications.
JSON Application Support: Facilitates fast and flexible deployment of JSON-based applications.
Billion-Scale Vector Search: Handles extensive data searches efficiently.
Mobile NoSQL Integration: Ensures seamless offline capabilities for mobile apps.
Real-Time Analytics: Provides instant insights without the need for ETL.

What benefits or ROI should you seek in reviews for Couchbase Capella?

Cost-Effectiveness: Offers competitive pricing with high performance.
Operational Efficiency: Minimizes manual database management needs.
Scalability: Easily adapts to growing datasets and application demands.
Flexibility: Supports a variety of use cases with its versatile structure.
Security: Prioritizes data protection and privacy.

In healthcare, Couchbase Capella aids in managing vast amounts of patient data with real-time analytics, ensuring fast application performance for critical decision-making. In retail, it enhances customer experiences through personalized recommendations and dynamic inventory management, while in finance, it supports secure, agile processing of transactions and fraud detection.

Couchbase

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

Information Not Available

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.