Lead Software Engineer at a tech vendor with 10,001+ employees
Real User
Top 20
Jul 1, 2026
Couchbase Server supports distributed transactions, which ensures data integrity by supporting distributed transactions across the database. It has a decentralized architecture, which prevents single points of failure and enables seamless scaling and disaster recovery. If you want to adopt Couchbase Server, we should take full advantage of Couchbase Server query language, which allows developers to use familiar SQL syntax to query unstructured and semi-structured JSON data. Leveraging JSON flexibility by designing documents into nested arrays and flattening data together can minimize multi-document joins. This is very useful for using SQL schemas with tables as collections and complex foreign keys. Couchbase Server also has a memory-first architecture that reads data directly from RAM before committing data to disk. It tunes for the active data set. I would recommend every developer to use it. It uses an autonomous operator and tests rebalancing on load. If you want to adopt Capella, there is a team that will fully manage the Capella database as a service to eliminate operational overhead. I would recommend everyone to use this. Couchbase Server is a high-performance NoSQL document database. We primarily use it for caching and generative AI to develop modern applications using rapid data access and offline support for offline mobile applications, along with flexible data modeling. We have used it for dynamic product catalogs, user profiles, and web applications. When we started using Couchbase Server, it achieved very good critical business and operational results. The major outcome is consistent microsecond to sub-millisecond response times from read and write operations during periods of concurrent requests. Couchbase Server uses a memory-first architecture, which is very easy for integrating the caching layer. Data is read from and returned to RAM before being persisted to disk. Couchbase Server has a security architecture that enforces strict data governance and regulatory compliance across distributed edge topology. There is TTL governance that automatically expires sensitive records natively at the document level. Couchbase Server version 8.8.0 has achieved a balanced combination of operational throughput and data precision up to 93% accuracy while maintaining performance. Couchbase Server is deployed as a database as a service in a hybrid cloud environment. I would rate this review an 8.
Software Architect at a financial services firm with 201-500 employees
Real User
Top 10
Jun 16, 2026
I feel there is nothing I should improve, and I do not think about improving anything. I did not purchase Couchbase Server through the AWS Marketplace. I do not have advice for others looking into using Couchbase Server. I would rate this product a 10.
Couchbase Server is an absolute powerhouse for high-velocity modern enterprise applications and bridges the gap between flexible schema advantages of NoSQL and the rigid, trusted query capabilities of relational databases beautifully. I would recommend taking full advantage of Multi-Dimensional Scaling during the initial infrastructure sizing. Isolate the query, index, and the data workload into a separate node. This ensures your heavy operational reads and writes never choke your search indexes, maximizing your cluster performance from day one. We run Couchbase Server in a hybrid multi-cloud architecture. We use Couchbase Server on our private, on-premises servers for sensitive data compliance, but we also run it inside our public cloud environments on Amazon EC2 instances. This allows us to sync data effortlessly from our localized database up to the public cloud using Couchbase Autonomous Operator for Kubernetes. I purchased Couchbase Server through the AWS Marketplace. I would rate this product a nine out of ten.
Couchbase Server is an advanced NoSQL database designed for performance, scalability, and flexibility. It offers document-oriented data storage with a focus on real-time applications.Couchbase Server is utilized by enterprises seeking a reliable, high-performance data management system that allows seamless scaling and flexibility. Its distributed architecture and NoSQL capabilities make it a preferred choice for handling vast datasets and real-time processing demands. It supports JSON...
Couchbase Server supports distributed transactions, which ensures data integrity by supporting distributed transactions across the database. It has a decentralized architecture, which prevents single points of failure and enables seamless scaling and disaster recovery. If you want to adopt Couchbase Server, we should take full advantage of Couchbase Server query language, which allows developers to use familiar SQL syntax to query unstructured and semi-structured JSON data. Leveraging JSON flexibility by designing documents into nested arrays and flattening data together can minimize multi-document joins. This is very useful for using SQL schemas with tables as collections and complex foreign keys. Couchbase Server also has a memory-first architecture that reads data directly from RAM before committing data to disk. It tunes for the active data set. I would recommend every developer to use it. It uses an autonomous operator and tests rebalancing on load. If you want to adopt Capella, there is a team that will fully manage the Capella database as a service to eliminate operational overhead. I would recommend everyone to use this. Couchbase Server is a high-performance NoSQL document database. We primarily use it for caching and generative AI to develop modern applications using rapid data access and offline support for offline mobile applications, along with flexible data modeling. We have used it for dynamic product catalogs, user profiles, and web applications. When we started using Couchbase Server, it achieved very good critical business and operational results. The major outcome is consistent microsecond to sub-millisecond response times from read and write operations during periods of concurrent requests. Couchbase Server uses a memory-first architecture, which is very easy for integrating the caching layer. Data is read from and returned to RAM before being persisted to disk. Couchbase Server has a security architecture that enforces strict data governance and regulatory compliance across distributed edge topology. There is TTL governance that automatically expires sensitive records natively at the document level. Couchbase Server version 8.8.0 has achieved a balanced combination of operational throughput and data precision up to 93% accuracy while maintaining performance. Couchbase Server is deployed as a database as a service in a hybrid cloud environment. I would rate this review an 8.
I feel there is nothing I should improve, and I do not think about improving anything. I did not purchase Couchbase Server through the AWS Marketplace. I do not have advice for others looking into using Couchbase Server. I would rate this product a 10.
Couchbase Server is an absolute powerhouse for high-velocity modern enterprise applications and bridges the gap between flexible schema advantages of NoSQL and the rigid, trusted query capabilities of relational databases beautifully. I would recommend taking full advantage of Multi-Dimensional Scaling during the initial infrastructure sizing. Isolate the query, index, and the data workload into a separate node. This ensures your heavy operational reads and writes never choke your search indexes, maximizing your cluster performance from day one. We run Couchbase Server in a hybrid multi-cloud architecture. We use Couchbase Server on our private, on-premises servers for sensitive data compliance, but we also run it inside our public cloud environments on Amazon EC2 instances. This allows us to sync data effortlessly from our localized database up to the public cloud using Couchbase Autonomous Operator for Kubernetes. I purchased Couchbase Server through the AWS Marketplace. I would rate this product a nine out of ten.