BLOGS (Digitalisierung 360-Grad)

Multicloud

by Couchbase

How Modern Data Platforms Are Transforming Financial Services

The financial services industry stands at a critical crossroads. Traditional institutions that once dominated through branch networks and institutional trust now face fierce competition from digital-native challengers who promise instant everything—instant payments, instant approvals, instant insights. Meanwhile, client expectations have […] The post How Modern Data Platforms Are Transforming Financial Services appeared first on The Couchbase Blog.

Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage

In modern data-driven applications, retaining historical documents is essential for compliance, auditing, and cost optimization. However, keeping all data indefinitely in your primary operational database is often unsustainable and expensive. In this blog post, I’ll walk you through building a […] The post Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage appeared first on The Couchbase Blog.

Why You Only Need Couchbase When Building Your Agents

Agents are intelligent systems powered by large language models (LLMs) that can autonomously perform tasks, make decisions, and interact with users or other systems. Unlike traditional software, agents can understand natural language inputs, determine what actions to take, and use […] The post Why You Only Need Couchbase When Building Your Agents appeared first on The Couchbase Blog.

Couchbase Integration with Hyperledger Fabric: A Technical Deep Dive

What is Couchbase? Couchbase is a distributed NoSQL document database that provides a flexible, high-performance, and scalable data management solution. It combines the best features of document databases with key-value stores, making it well-suited for modern application development. Key features […] The post Couchbase Integration with Hyperledger Fabric: A Technical Deep Dive appeared first on The Couchbase Blog.

Vector Database vs. Graph Database: Differences & Similarities

What is a vector database? A vector database is a type of database designed to store, index, and search high-dimensional vector representations of data, typically generated by machine learning models. These vectors, also known as embeddings, capture the semantic meaning […] The post Vector Database vs. Graph Database: Differences & Similarities appeared first on The Couchbase Blog.