Introduction NoSqlOnSql is a strict syntactical superset of SQL; it adds NoSQL document-oriented capabilities to the SQL language. For this, it uses uses JSON-like documents, integrating them into the normal flow of SQL statements. NoSqlOnSql is based on augmenting a SQL database to support NoSQL features without any kernel changes. In this sense it is […]
As many companies consider moving data to NoSQL, Cassandra may be the choice. In this series, Shel Burkow discusses design considerations for porting a SQL Server schema to Cassandra. The first article explains the Cassandra primary key.
Editorial Note: This is a republish, in memory of Mike who passed away too soon. You can see his memorial at sqlmemorial.org. Recently I have been working with a colleague who is doing a bit of a side projects outside of work. He's trying to expand his skillset using a pet project at home. I encouraged […]
The JSON documents that are part of Cosmos DB document collections can be complex with arrays and nesting. In this article, Adam Aspin shows you how to query them with SQL.
Building on the introduction to the SQL used by Cosmos DB in the first article in the series, here you will learn how to handle some of the more classic challenges that you may face when querying JSON documents. Adam Aspin shows you some of the workarounds that are useful in practice when finding and shaping output data ready for further analysis.
Organizations have many choices when it comes to database platforms. Choosing the right one for an application should be based on the application’s characteristics and the platform’s features. In this article, Pushpa Sekhara explains why the Apache Cassandra database might be a good choice and how to get the most from it.
Choosing the right data platform is not an easy task. Warner Chaves compares the capabilities of the big three Database as a Service (DBaaS) offerings, Microsoft’s Cosmos DB, Google’s Cloud Spanner, and Amazon’s DynamoDB, to help you make the right choice for your application.
There’s a new kid on the block in the NoSQL world – Azure DocumentDB. Released in preview back in August 2014 and going Generally Available this month, Azure DocumentDB is Microsoft’s initial foray into the increasingly competitive space of non-relational database management systems. Of course there is no better competitor in this space to measure up against than MongoDB. How close does DocumentDB stack up to MongoDB? Are they even close?