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GenAI: A New Tool in the Developer Toolbox
GenAI’s text generation capability is expected to revolutionize every aspect of developer experience and productivity.
NoSQL Is Dead, Long Live NoSQL
Dynamo accelerated the NoSQL revolution that’s driving the database industry. Recently, Amazon announced PartiQL – A SQL-Compatible Query Language for their flagship NoSQL database Amazon DynamoDB. This has brought the NoSQL “re:evolution” full circle. It’s wonderful to see the collaborative research from UCSD and...
Halloween Problem: Solution in N1QL.
Learning SQL is easy; Implementing SQL, not so much. Halloween has come and gone. But, the tricks of the Halloween problem is here to stay! This has to be solved by databases every day. SQL made the relational database easy,...
N1QL Transactions : Elastic, Scalable, and Distributed
N1QL transactions are multi-document, multi-bucket, multi-scope, multi collection, and multi-DML-statement. Read on to learn more!
Arrays in JSON: Modeling, Querying and Indexing Performance
Find out how Couchbase 6.6 removes limitations on JSON arrays by using a built-in inverted index to be used to index and query arrays in N1QL.
Comparing MongoDB MQL with N1QL features in Couchbase 6.5
MongoDB 4.4 added a number of features for the MQL language. We compare them with new features in Couchbase 6.5 including N1QL query and analytic services.
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...
Analyze This: MongoDB & Couchbase Analytics.
The purpose of computing is insight, not numbers. — Richard Hamming The spiral of running the business, analyzing what to change & what to change to, and then changing the business is an eternal one. Do the right analysis, your...
Example Architectures for Data Intensive Applications.
…a drawing should have no unnecessary lines and a machine no unnecessary parts. —William Strunk Jr., Elements of Style In the book Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann has written about traits...
Couchbase Intro for MongoDB Developers and NoSQL Experts
Many start with MongoDB to learn NoSQL and flexible JSON schema, many choose Couchbase for performance, scale, and SQL. Learn the differences in this post.
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...
Couchbase for Oracle Developers – Part 4 : Data types
Link to the series home page: https://www.couchbase.com/blog/couchbase-oracle-developers-part-2-architecture/ As part of data remodeling, while moving from the relational model to the JSON model, you’ll have to consider the data type mapping. In Oracle, you’ll have to create and declare the types...
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