Planet NoSQL

Insights come from observing and analyzing data from all sources. Couchbase Columnar helps quickly analyze data from a variety of data sources with zero-ETL. The purpose of computing is insight, not numbers. -  Richard Hamming Capella  Columnar  is an advanced real-time analytics database service from  Couchbase , targeted for real-time data processing, offering SQL++ for processing  JSON  (semi-structured) data and more. This service enables data to be managed locally and streamed continuously from both relational and NoSQL databases, or simply process data on S3. The columns or fields of the source are directly mapped to a field in the JSON document at the destination automatically. This is really a zero-ETL operation. A key feature of this system is its ability to continuously stream data, making it immediately available for querying, thus ensuring near real-time data processing.  At the heart of Columnar's architecture is a Massively Parallel Proce...

DZone published  [April, 20, 2020] The business applications have requirements: take customer orders, deliver customer orders, track shipping, generate inventory report, end of the day/month/quarter business report, generate business dashboards, and more. These requirements evolve slowly. They remain even when you choose a NoSQL database. On NoSQL databases, challenges are addressed by a multitude of technologies and workarounds. Here are some of them: Copying the data with a different key to make the scans easier. Fetch all of the data needed to the application and then generate reports Load the data into relational databases to generate the report. Products provide workarounds with  map-reduce views ,  APIs , etc. Finally, SQL itself has been  unreasonably effective  for both structured and semi-structured data. NoSQL databases like  Couchbase ,  Cassandra ,  CosmosDB  have extended SQL for JSON and wide-column data model. NoSQL has evolved...