Category: Couchbase Architecture
Data Consistency Models & Performance: Couchbase vs. CockroachDB
Design decisions influenced by CAP Theorem The CAP theorem states that a database cannot simultaneously provide all three of the following guarantees: Consistency (the latest information is always available everywhere) Availability (every read and write request receives a response) Partitioning...
A Deeper Dive Into Couchbase Capella™
Couchbase Capella Database-as-a-Service (DBaaS) eases database management, reduces costs, offers flexibility for developers, and delivers high performance for modern applications. Its use of the SQL++ query language and user-friendly interface, inspired by tools like GitHub, make Capella easy for developers and...
PepsiCo on Modern Applications, Technology Trends, and the Role Cloud Plays in Business
These days, keeping up with technology trends and ensuring your applications adapt to modern business and user requirements is becoming increasingly important. On a journey to speak with industrial leaders about their company transformations in Couchbase’s new customer interview series,...
Business Continuity and Disaster Recovery Strategies
In this post, we review some important considerations for planning for business continuity (BC) and disaster recovery (DR). Business continuity needs careful consideration when using Couchbase as a core business service. Today’s focus is on the application layer and the...
Physical Storage Layer Options for Couchbase as a Persistent System of records
In a previous blog, I talked about various storage strategies that need to be considered when choosing the correct storage to meet your business requirements. This becomes more salient as datasets continue to grow and consistent performance is mandated by...
Magma: The Next-Generation Document Storage Engine
The Couchbase database platform supports two storage mechanisms: Couchstore, the default, and Magma, the recently released engine. Both offer benefits under various scenarios. This blog post gives a brief overview of the new Magma storage engine, provides a comparison of...
Reduce TCO By 10x Using Couchbase 7.1 For Large Multi-Terabyte Databases
Store hundreds of terabytes of JSON data and query in milliseconds with Couchbase 7.1. Our new storage engine in 7.1, Couchbase Magma, makes Couchbase the most cost-effective and performant database, lowering TCO. With Magma storage engine, Couchbase 7.1 becomes the...
What’s New In Couchbase Server 7.1
Can a Database Fight Inflation? Introducing Couchbase Server 7.1 This year, I’ve asked myself, how can a database help fight inflation? The answer is to make efficiency improvements in the database that outpace inflation. For as long as I’ve worked...
NoSQL DBaaS benchmarks: which cloud comes out on top?
The COVID-19 pandemic has substantially increased the pace of digitization, and for many organizations, data demands have never been higher. As enterprises accelerate their digital transformation journeys, the need to quickly and efficiently scale their database infrastructure to meet increased...
Combine Clusters to Achieve High Availability
Whether on-premises or on the public cloud, Couchbase customers have a distinct set of needs: ACID transactions, high durable writes, high availability and high performance. Couchbase’s architecture helps meet these needs while also reducing pain for DevOps and DBAs (perhaps...
Energy at the Edge: How the Right Database Can Lower Our Gas Prices
What can a database do to help an oil and gas company lower rising prices at the pump? It turns out, a lot! In this post, I explore some data-related factors of rapidly increasing energy costs and how Couchbase can...