Category: Data Modeling
How Scopes & Collections Simplify Multi-Tenant App Deployments on Couchbase
Now it’s easier than ever to build and deploy microservices and multi-tenant applications on Couchbase. The 7.0 release introduces a new data organization feature called Scopes and Collections. Scopes and Collections allow logical isolation of different types of data, independent...
Ending the Relational vs NoSQL Debate, Once and for All
Couchbase 7.0 is a major milestone for databases. In the latest release, there are over 33 major innovations and 100 minor innovations, all culminating in a product that is both ground breaking and yet familiar to developers and DevOps engineers....
Announcing Couchbase Server 7.0
Couchbase Server 7.0 solves the requirements of modern application development. In doing so, it settles the debate over using relational or NoSQL databases. There’s no more need to compromise. (Try it out for yourself here or skip straight to the...
What Is a JSON Database & Why Are They Useful?
My family hears me talk about JSON databases rather frequently. Naturally, I had to explain that Jason is not the owner of my company! Instead, many modern databases use JSON as a data format. They usually leave the room at...
What is SQL? Navigating Databases for DBAs and Developers
This article briefly introduces the essentials of SQL – its meaning, definition, and application to different database technologies. We introduce many different types of systems that use SQL – from databases to event stream processing. What is SQL? Define: SQL...
Introduction to Ottoman With Couchbase
Ottoman is an Object Data Modeler (ODM) for Couchbase’s Node.js SDK providing JSON schema and validation for NoSQL. Why Use an ODM for Couchbase With Ottoman, you declare schema in your code. Although Couchbase has no schema enforcement for your...
Data Structures & Full-Text Search Indexing in Couchbase
This is Part 3 of a series examining Data Structures in NoSQL databases. In this post, we use Full-Text Search natural language queries against data structures in Couchbase. Part 1: Data Structures for NoSQL Applications we used simplified JSON data...
Hands-on Migration From Relational to Collections
The key outcome of this blog is to teach you how you can easily migrate your relational data over to Couchbase, lowering your TCO and empowering your data platform to respond to the fast paced release cycles we know and...
Recursive Timers for Document Aggregation and Lower TCO with Couchbase Server 6.6
Where does it begin… IOT, Edge devices and NoSQL are all technologies that have increased in popularity in recent years. Allowing people to comfortably create interaction heavy applications, without the worry of stability and availability. One problem with the freedom...
Data Structures & Queries with Couchbase N1QL (SQL for JSON)
In the Data Structures for NoSQL Applications post, we used simplified JSON data access through native collections, maps, and more. This post demonstrates querying that data using higher-level N1QL queries, the SQL-based language for JSON. Developers can focus on managing...
Arrays in JSON: Modeling, Querying and Indexing Performance
Array is THE difference between the relational model and the JSON model. — Gerald Sangudi Abstract JSON array gives you flexibility in the type of elements, number of elements, size of the elements, and the depth of the elements. This...
Migrating Data from MongoDB to Couchbase
Prologue This article guides you through a one-time MongoDB migration to Couchbase. You will learn how to export from the MongoDB data structure, import to Couchbase, and do some basic transformation on those documents. All code from this blog is...