Document databases, one of the family of data products collectively referred to as “NoSQL,” are for developers who want to focus on their application rather than the database technology.

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a document store database? Document stores accommodate data that has ...

Document databases, one of the family of data products collectively referred to as “NoSQL,” are for developers who want to focus on their application rather than the database technology.

Massively scalable data stores like Cassandra, Voldemort, and HBase sacrifice structure to achieve scale-out performance. However, the document-oriented NoSQL databases have very different ...

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for migrating data.

In general, the most popular model of NoSQL databases has been key-value. Storing heavily structured document models within a key-value database was not an ideal fit. While these are extremely fast ...

Considering a switch from SQL to a document model? Learn the real-world pros, tradeoffs, and what to expect from modern NoSQL ...

This is due in part to the key value storing properties of NoSQL databases: The unstructured nature of session data is easier to store in a schema-less document than in a structured (and more ...

The database they most seem to compete with in the NoSQL space seems to be MongoDB, where both have origins as “document databases” (- managing millions of documents is one of the most popular ...

Google Cloud is on the path towards a serverless future with the general availability release of its serverless NoSQL document database solution Cloud Firestore. The solution leverages cloud ...