Planet NoSQL

  Couchbase N1QL Transaction: An Elastic and Scalable Distributed Transaction MongoDB to Couchbase: An Introduction to Developers and Experts New N1QL Features in Couchbase 7.0 [Video] NoSQL Is Dead, Long Live NoSQL Halloween Problem: Solution In N1QL Arrays in JSON: Modeling, Querying and Indexing Performance Example Architectures for Data-Intensive Applications First Class SQL for Full Text Search First Class SQL for Full-Text Search Create the Right Index, Get the Right Performance, Part 2 Create the Right Index, Get the Right Performance, Part 1 Analyze This: MongoDB and Couchbase Analytics Example Architectures for Data-Intensive Applications On Par With Window Functions The Unreasonable Effectiveness of SQL in NoSQL Databases: A Comparative... Flexible Query and Indexing for Flexible JSON Model Using N1QL With Couchbase Eventing Functions JSON Is Case Sensitive but You Don't Have to Be Simple DataViz With N1QL and Google Sheets Main Uses for Couchbase Primary Index Less Is Mo...

    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 Couchbase  enabling the industry to move forward. NoSQL had a good run.  MapReduce  triggered it in 2004.   Dynamo  and  BigTable  accelerated it in 2007. NoSQL meant no support for SQL, no support for multi-document transactions, no schema management, no procedural language, and many more No’s. However, NoSQL wasn’t a  rebel without a cause . It promised reliability, scalability, and flexibility. Someone quipped: “If you are not ready to scale, you’re not ready to succeed!”. To the amusement of SQL folks, MongoDB claimed it’s  webscale . Despite the  reservations and opposition  ...