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Time is also saved because the N1QL query language is very similar to relational databases and traditional databases, so developers do not need much time learning the N1QL query language.
We have indeed seen a return on investment with Couchbase Enterprise, as it allowed us to save costs by using it for all services, which improved interaction efficiency with microservices and reduced persistence time by 60%.
After starting to use Couchbase Enterprise, we cut the response time to below half.
The efficiency has increased significantly, and our workflows are consolidated into a single platform, thus reducing the operational overhead we previously faced.
The objective was to scale as data loads with high-performing query model responses.
I have seen a return on investment in terms of time saved.
We used the documentation, which was well-written and clear.
The customer support helped me with the licensing part and assisted me in setting up Couchbase Enterprise.
I would rate the customer support of Couchbase Enterprise a nine.
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
We have our own account manager who keeps us informed of the latest solutions and improvements in the system.
Couchbase Enterprise is very efficient in handling growth and increased workloads, proving to be effective during traffic spikes and addressing any problems with horizontal scaling.
It was easily scalable, which is expected from a NoSQL database.
Automatic increases in database instances based on user load are effective in handling peak traffic.
As our data volumes grow, we can expand resources without significant performance degradation.
SingleStore's scalability is really nice, as the process model includes master aggregator and slave aggregators or child aggregators, making it very well scalable both vertically and horizontally.
I have added both storage and additional instances many times, and it worked perfectly.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase Enterprise has not shown any low latency in handling peak loads or high user traffic; its performance remains excellent.
There are no significant issues with Couchbase Enterprise.
It handles large workloads and maintains consistent performance very well overall.
The performance and usability of SingleStore as a main database engine are significantly superior to other both paid and open-source solutions.
I have not seen any downtime.
There is operational overhead with Couchbase Enterprise, such as managing clusters, monitoring performance, and handling failovers, which require strong DevOps expertise.
There are no dropdown options, and I have to manually enter the key and its value to retrieve any specific document, so adding some toggles or dropdowns would be an improvement.
I also heard from a peer about a complex multi-document transaction requiring strict consistency, which Couchbase Enterprise did not support effectively, whereas MongoDB was mature and predictable for such transactions.
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
Better documentation for advanced use cases, especially where data volumes are very high and queries are frequent, would help us manage the feature more efficiently.
They did update, and since then, I haven't had any problems anymore.
The setup cost is costly because it takes time to set up and is complex, so it is not very cost-efficient.
Setup costs and licensing have been reasonable when comparing the services offered.
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
The setup cost was surprisingly good, and our transfer to Helios was almost seamless, as far as databases go, and it was not expensive.
The best thing about Couchbase is its versatility in handling data.
We have big customers such as Marriott who have around 10,000 to 20,000 features configured under their chain, and we have tried retrieving data multiple times, employing batch jobs and cron jobs without facing any latency.
Couchbase Enterprise has positively impacted our organization by reducing latency by 60%; with its inbuilt cache, our performance improved significantly by 50%, and the time taken to search in Couchbase was also reduced, leading to an overall performance improvement of 78.3%.
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.
A very nice and useful feature is its compatibility with MySQL API, letting any system that can connect to MySQL also connect to SingleStore, thus solving many interoperability issues with different systems.
SingleStore is a distributed database that has the advantage that at any moment when resources are insufficient, there is a possibility to add more nodes, and everything is added online.
| Product | Mindshare (%) |
|---|---|
| Couchbase Enterprise | 5.8% |
| MongoDB Enterprise Advanced | 11.5% |
| Cassandra | 8.7% |
| Other | 74.0% |
| Product | Mindshare (%) |
|---|---|
| SingleStore | 3.7% |
| Amazon RDS | 12.7% |
| MongoDB Atlas | 10.3% |
| Other | 73.3% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 5 |
Couchbase Enterprise offers powerful data management capabilities with features like horizontal scalability, ease of use, and flexible tools for business applications. Designed for high performance and reliability, it supports multi-master capability and low latency, making it ideal for dynamic environments.
Designed for businesses needing crucial data management, Couchbase Enterprise offers advanced indexing, analytics engines, and efficient storage for performance enhancement. It provides flexibility with data types, robust data sync, and supports a dynamic API for seamless integration. Its intuitive query language simplifies operations, ensuring businesses navigate effortlessly while enjoying high availability and extensive features. Despite this, challenges exist in areas like manual failover processes, complex upgrades, and UI limitations, necessitating enhancements in concurrency, integration, and security features. Performance issues on certain platforms add to the need for improved documentation and support.
What are Couchbase Enterprise’s most important features?Couchbase Enterprise is deployed across industries for its excellent data handling capabilities. It empowers telemedicine, e-commerce, gaming, and telecommunications sectors by offering efficient data link utilization, caching, and logging. Some companies leverage its real-time data replication with Elasticsearch for high-performance operational needs, while others benefit from its capabilities in managing reads and writes in iGaming. Retail industries use its document-based storage for structured inventory management, and cloud migrations are simplified with support from Capella.
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?
What benefits can users find in SingleStore reviews?
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.
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