Category: Data Modeling
Cracking the Code on Quality Control with Vector Search
There is a good chance you encounter vector search regularly, even if you are not building applications with it. Discovering content recommendations based on previous liked content is a common use case of vector embeddings, and one that many of...
Consolidate Your Databases to Eliminate Data Sprawl, Reduce Complexity and Lower Costs
The concept of consolidation is simple, and applying its principles can bring immense benefit to any organization. But what does consolidation mean in the context of database technology? Google defines consolidation as “the action or process of combining a number of...
FAST Data Generation With The Capella Eventing Service
Every application developer has faced the need for sample data. Whether it’s for functional testing or stress testing at scale, a large volume of meaningful data is required to see how an app actually performs under real world conditions. In...
Large Language Models Explained
What is a Large Language Model (LLM)? A large language model (LLM) is an artificial intelligence (AI) algorithm trained on large amounts of text data to create natural language outputs. These models have become increasingly popular because they can generate...
What is a Transactional Database?
Transactional databases store data in rows rather than columns to read and write data quickly. A transactional database maintains data integrity by relying on ACID (atomicity, consistency, isolation, durability) properties. ACID ensures that a database is restored to its original...
Introducing Couchbase Time Series
Couchbase is excited to announce the release of a new time-series feature as part of Couchbase 7.2. This feature is built on top of the robust Couchbase distributed database architecture, which is designed to scale horizontally as your data grows,...
Recursive Query Processing in SQL++ (N1QL)
It is extremely likely that you have come across issues with hierarchical lookups or graph traversal in your application as a developer who handles real-world use cases. And, for obvious reasons, you prefer solving them at the database layer and...
Webcast: See our Developer-friendly Updates to Capella DBaaS
The Spring Release of Couchbase Capella™ DBaaS coincides with National Cloud Database Day (June 1st) – perfect timing because Capella reimagines the modern database as a fast, flexible, and affordable cloud database platform. In this What’s New webcast, we’ll walk you...
Database vs. Data Warehouse: Differences Between Them, Use Cases, Examples
The explosion of data in the digital age has created a pressing need for organizations to efficiently store, manage, and analyze vast amounts of information. Databases and data warehouses are crucial tools that help businesses make sense of their data...
Explore your Couchbase Buckets with Azimutt
Azimutt is a Next-Gen ERD that allows you to Design, Explore, Document and Analyze your database. What is an ERD, you ask? ERD stands for Entity Relationship Diagram. Because, yes, you can have (virtual) entity relationships in a document database....
Data Migration from Oracle to Couchbase
You may know Couchbase as the fastest, most scalable NoSQL platform available. However, did you know that Couchbase can also be a relational database? Couchbase is a data platform that can operate with multiple simultaneous personalities all in the same...
11 Effective Microservices Development Best Practices
Microservices architecture is increasingly popular in today’s fast-paced software development landscape. Because microservices run independently, developers can scale and maintain each application without disrupting other microservices, making them easier to work with than a monolithic architecture. Keep reading to find...