Results for: mongodb

5G and Edge Computing: The New Battleground in Database Tech

5G and Edge Computing: The New Battleground in Database Tech

On the MongoDB earnings call last week, president and CEO Dev Ittycheria gave some huge forward guidance – he’s betting big on mobile, 5G, and edge computing. One of the killer features that we will be [releasing next year, is]...

December 15, 2020
Announcing Flex Index With Couchbase

Announcing Flex Index With Couchbase

Flex Index Explained What is a Flex Index? One of the key tasks of a database engine is how to efficiently manage the search and retrieval of the data therein. The efficiency and balance between resource consumption and performance are...

August 12, 2020
Arrays in JSON: Modeling, Querying and Indexing Performance

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...

August 4, 2020
Refactoring Spring Microservices Apps to work with Couchbase

Refactoring Spring Microservices Apps to work with Couchbase

I’m a big fan of online learning platforms, such as Udemy. For the price of a bottle of wine, you could learn pretty much anything, from psychology and Thai cooking to programming languages, operating systems and IT certifications.  Recently, I...

FIRST CLASS SQL for FULL-TEXT SEARCH

FIRST CLASS SQL for FULL-TEXT SEARCH

Over time, the database industry has realized full-text search and SQL are two sides of the same coin.  Text search needs further query processing, query processing needs text search to efficiently filter for text patterns.   The SQL databases have added...

July 7, 2020
Flexible Query & Indexing for Flexible JSON Model.

Flexible Query & Indexing for Flexible JSON Model.

Use N1QL when you’re in a JSON pickle. — Confucius For the JSON data model, the advice is to think of collections as tables, JSON document as denormalized rows and field names as columns – roughly. All this holds in...

April 13, 2020
SQL to NoSQL – 7 Metrics to Compare Query Language

SQL to NoSQL – 7 Metrics to Compare Query Language

Organizations who want to take advantage of the many benefits of NoSQL document databases, often find that they have two challenges: How to convert their RDBMS schemas to leverage the schema-less document model. Learn a new API/Query  to access the...

March 6, 2020
Announcing Couchbase Now Available on Oracle Cloud

Announcing Couchbase Now Available on Oracle Cloud

Any cloud, any workload, any location I am thrilled to be able to announce Couchbase as a launch partner with Oracle for their Paid Listing and their Stack launch in the Oracle Cloud Infrastructure (OCI) Marketplace. Running Couchbase on OCI...

September 16, 2019
Less Is More: Why Use a Cost-Based Optimizer?

Less Is More: Why Use a Cost-Based Optimizer?

Less is more.  — Ludwig Mies van der Rohe There is no truer statement on the goals of a query optimizer. Do less: Less memory, less CPU, less disk, less IO, less instructions, less partitions, less overflow. Less everything for...

September 7, 2019

Window functions in Couchbase Analytics

Co-author:  Till Westmann,  Senior Director, Engineering The bits for Couchbase 6.5, the upcoming release of Couchbase Server, are now available. The Analytics service, which supports efficient parallel query processing, has added support for support for window functions defined in the...

Cost Based Optimizer for Couchbase N1QL (SQL for JSON)

Cost Based Optimizer for Couchbase N1QL (SQL for JSON)

Authors & Engineering Team: Bingjie Miao, Keshav Murthy,  Marco Greco, Prathibha Bisarahalli. Couchbase, Inc.  A rule-based optimizer knows rules for everything and cost for nothing – Oscar Wilde Abstract Couchbase is a distributed JSON database. It provides distributed data processing,...

August 7, 2019
Comparing Postgres JSONB With NoSQL

Comparing Postgres JSONB With NoSQL

The reality is that databases are converging, and in the last few years, it is becoming even more difficult to point what are the best scenarios for each datastore without a deep understanding of how things work under the hood. ...