Skip to main content

Planet NoSQL Blogs.

 





  1. Couchbase N1QL Transaction: An Elastic and Scalable Distributed Transaction

  1. MongoDB to Couchbase: An Introduction to Developers and Experts

  1. New N1QL Features in Couchbase 7.0 [Video]

  1. NoSQL Is Dead, Long Live NoSQL

  1. Halloween Problem: Solution In N1QL

  1. Arrays in JSON: Modeling, Querying and Indexing Performance

  1. Example Architectures for Data-Intensive Applications

  1. First Class SQL for Full Text Search

  1. First Class SQL for Full-Text Search

  1. Create the Right Index, Get the Right Performance, Part 2

  1. Create the Right Index, Get the Right Performance, Part 1

  1. Analyze This: MongoDB and Couchbase Analytics

  1. Example Architectures for Data-Intensive Applications

  1. On Par With Window Functions

  1. The Unreasonable Effectiveness of SQL in NoSQL Databases: A Comparative...

  1. Flexible Query and Indexing for Flexible JSON Model

  1. Using N1QL With Couchbase Eventing Functions

  1. JSON Is Case Sensitive but You Don't Have to Be

  1. Simple DataViz With N1QL and Google Sheets

  1. Main Uses for Couchbase Primary Index

  1. Less Is More: Why Cost-Based Optimizer?

  1. Cost-Based Optimizer for Couchbase N1QL (SQL for JSON)

  1. N1QL (Query) Basic Order of Execution

  1. Approaches to Query Optimization in NoSQL

  1. Search and Rescue: 7 Reasons for SQL (and N1QL) Developers to Use Search

  1. The Unreasonable Effectiveness of SQL

  1. The Unreasonable Effectiveness of SQL

  1. Couchbase N1QL: To Query or To Analyze?

  1. Searching JSON: Comparing Text Search in Couchbase and MongoDB

  1. JSON to Insights: Nobel Prize Winners' Dataset

  1. JSON to Insights: Analyzing U.S. Healthcare Data

  1. JSON to Insights: Fast and Easy

  1. It's the Workload, Stupid!

  1. YCSB-JSON: Benchmarking JSON Databases by Extending YCSB

  1. TPCx-IoT Benchmark With Cisco and Couchbase

  1. Joining JSON: Comparing Couchbase N1QL and MongoDB

  1. Couchbase 5.5: Overview of Query and Indexing Features

  1. Divide and Conquer: Couchbase Index Partitioning

  1. Using Google Artificial Intelligence Services in Couchbase N1QL

  1. Database Pagination: Using OFFSET and Keyset in N1QL

  1. Optimizing Database Pagination Using Couchbase N1QL

  1. Systems of Engagement for Customer Jobs

  1. N1QL = SQL + JSON : A Practical Guide

  1. Enterprises on Getting the Jobs Done [Videos]

  1. A Deep Dive Into Couchbase N1QL Query Optimization

  1. How to Speed Up Spatial Search in Couchbase N1QL

  1. More Than LIKE: Efficient JSON Searching With N1QL

  1. Keep Calm and JSON

  1. SPLIT and CONQUER: Efficient String Search With N1QL in Couchbase

  1. COUNT and GROUP Faster With N1QL

  1. What's in a New York Name? Unlock data.gov Using N1QL

  1. SQL on Twitter: Analysis Made Easy Using N1QL

  1. Concurrency Behavior: MongoDB vs. Couchbase

  1. JOIN Faster With Couchbase Index JOINs

  1. How Couchbase Won YCSB

  1. Indexing JSON in Couchbase

  1. KEEP CALM and QUERY JSON KEEP CALM and QUERY JSON

Comments

Popular posts from this blog

MongoDB to Couchbase for Developers: Part 2: Database Objects

    MongoDB developers and DBAs work with physical clusters, machines, instances, storage systems, disks, etc. All MongoDB users, developers, and their applications work with logical entities: databases, collections, documents, fields, shards, users, data types.  There are a lot of similarities with Couchbase since both are document (JSON) oriented databases.  Let’s compare and contrast the two with respect to database objects.  Here’s the first part of this series comparing the architecture.   MongoDB Organization A full list of MongoDB schema objects is listed here and here . A database instance can have many databases; A database can have many collections; Each collection can have many indexes.  Each collection can be sharded based into multiple chunks on multiple nodes of a cluster using hash-sharding strategy or index sharding strategy.  The MongoDB indexes are local to their data.  Therefore, the indexes use the same strategy as ...

Swami Vivekananda: The Monk That Nobody Sent to Chicago

  There’s a saying in Chicago: “We don’t want nobody that nobody sent.” This was the cold reception Swami Vivekananda faced when he arrived in the windy city in July 1893, determined to attend the World Parliament of Religions that September. He belonged to no organization, carried no letter of recommendation, his countrymen were nobody, and represented an alien religion to the Western world. As the days passed, his hope of attending the parliament dwindled. With money running out and the odds stacked against him, he left the Windy City and went to Boston, praying for a glimmer of opportunity.  Swamiji came to America to share India’s most profound gift: the wisdom of the Hindu sages, preserved through centuries of oral tradition and embodied by its monks. This was 1893, not 1993—India was under the British grip, its resources drained, and its spirit subdued. Swamiji’s mission was not just a cultural exchange; it was a bold step toward envisioning a future where India could re...

MongoDB to Couchbase for Developers: Part 1: Architecture

  Introduction By any measure, MongoDB is a popular document-oriented JSON database. In the last dozen years, it has grown from its humble beginnings of a single lock per database to a modern multi-document transaction with snapshot isolation. MongoDB University has trained a large number of developers to develop the MongoDB database. There are many JSON databases now. While it's easy to start with MongoDB to learn NoSQL and flexible JSON schema, many customers choose Couchbase for performance, scale, and SQL. As you progress in your database evaluation and evolution, it's easier to start from what you know now. That's the idea for this series. Use your MongoDB knowledge to easily learn and eventually master Couchbase.  Don't despair if you don't know MongoDB do know any one of the RDBMS. This Oracle to Couchbase series will help you learn by comparison.  Many nations are known by their language: French, German, Spanish). Many databases are known for their language...