Lead Software Engineer at a tech vendor with 10,001+ employees
Real User
Top 20
Jul 1, 2026
We are using RAG here, and Couchbase Server is supported as a vector store, providing a high-performance solution for managing and retrieving vector data. This integration helps us to create a no-code AI workflow with flexible vector storage. Flowise is an open-source tool that allows us to create and manage workflows with a visual no-code interface. We install Flowise using NPM and then use Docker to deploy our project for running it in a container. We upsert into Couchbase Server and run queries using a Couchbase Server retriever. We process and generate data using ChatGPT 4O and handle multi-retrieval using multi-interaction to ensure accurate and context-specific responses. We have used Couchbase Server in our applications, including a sales plus application. In that application, we moved card validation from the Xamarin code and created a tool to validate all card validations. We directly interact with the document and check each document in Couchbase Server to ensure it is correct. Sometimes we pull data from Couchbase Server, but some attributes are not present. We created a tool to validate the data, and when orders are placed, payment is processed and then shipped, with Couchbase Server storing the state of the active workflow as a JSON document. In our project, we use the same approach. We run a distributed workflow, and if it fails, we can directly fetch the data from Couchbase Server to see how it is handling the data between our microservices without forcing them to communicate directly.
Software Architect at a financial services firm with 201-500 employees
Real User
Top 10
Jun 16, 2026
I used Couchbase Server at ViajaNet five years ago, and I am currently using it at Vertiv for cache specification. I primarily use Couchbase Server for cache because this cache is very useful and the performance is excellent. I need ultra-performance for risk analysis. In my order flow, I need to obtain more information about the participant and the count of the order that exists, and I require precise information with ultra-performance. In the order flow, if a participant makes three orders in two seconds, one second, or one minute, it is accounted for, and I have rules for specific times when this participant makes orders. Couchbase Server is important for performing in several flows that I have in my company.
Couchbase Server serves as the primary use case for our real-time web and mobile application backend with caching. We utilize Couchbase Server for microservice session isolation in our Java Spring Boot backend, leveraging Couchbase CrudRepository to instantly save and retrieve complex JSON user profiles. Couchbase Server's memory-first architecture handles our high-volume read-write workloads incredibly fast. We use Couchbase Server to manage user sessions, a dynamic product catalog, and real-time telecom-style insights where microsecond data persistence and sub-millisecond query response are strictly required.
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...
We are using RAG here, and Couchbase Server is supported as a vector store, providing a high-performance solution for managing and retrieving vector data. This integration helps us to create a no-code AI workflow with flexible vector storage. Flowise is an open-source tool that allows us to create and manage workflows with a visual no-code interface. We install Flowise using NPM and then use Docker to deploy our project for running it in a container. We upsert into Couchbase Server and run queries using a Couchbase Server retriever. We process and generate data using ChatGPT 4O and handle multi-retrieval using multi-interaction to ensure accurate and context-specific responses. We have used Couchbase Server in our applications, including a sales plus application. In that application, we moved card validation from the Xamarin code and created a tool to validate all card validations. We directly interact with the document and check each document in Couchbase Server to ensure it is correct. Sometimes we pull data from Couchbase Server, but some attributes are not present. We created a tool to validate the data, and when orders are placed, payment is processed and then shipped, with Couchbase Server storing the state of the active workflow as a JSON document. In our project, we use the same approach. We run a distributed workflow, and if it fails, we can directly fetch the data from Couchbase Server to see how it is handling the data between our microservices without forcing them to communicate directly.
I used Couchbase Server at ViajaNet five years ago, and I am currently using it at Vertiv for cache specification. I primarily use Couchbase Server for cache because this cache is very useful and the performance is excellent. I need ultra-performance for risk analysis. In my order flow, I need to obtain more information about the participant and the count of the order that exists, and I require precise information with ultra-performance. In the order flow, if a participant makes three orders in two seconds, one second, or one minute, it is accounted for, and I have rules for specific times when this participant makes orders. Couchbase Server is important for performing in several flows that I have in my company.
Couchbase Server serves as the primary use case for our real-time web and mobile application backend with caching. We utilize Couchbase Server for microservice session isolation in our Java Spring Boot backend, leveraging Couchbase CrudRepository to instantly save and retrieve complex JSON user profiles. Couchbase Server's memory-first architecture handles our high-volume read-write workloads incredibly fast. We use Couchbase Server to manage user sessions, a dynamic product catalog, and real-time telecom-style insights where microsecond data persistence and sub-millisecond query response are strictly required.