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

This post is one of a series that introduces the fundamentals of NOSQL databases ... But this is only true for some types of queries. For others, columnar databases offer no speed advantage ...

Instead, there are four popular types of NoSQL database offerings: document stores, column stores, key/value pairs, and graph databases. A document store manages and stores data at the document level.

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

The four key database types that fall under the NoSQL category are key-value stores which allow the storage of schema-less data, with a key and actual data, column family databases, which store data ...

What types of NoSQL databases are available? NoSQL Databases are available in many and diverse varieties tailored for differing data collection and Big Data analytics applications: Content Store ...

The modern sense of NoSQL, which dates ... (the equivalent of an RDBMS database) and bins (the equivalent of RDBMS columns). Each bin supports certain data types: integer, string, float, list ...

Extending the success of NoSQL databases and big data solutions, architects are now realizing that a new type of approach to working with data, be it a graph database or a graphing engine, can help ...

This is in contrast to SQL database, which has to be done using a separate infrastructure. Describing the architecture of data storage in NoSQL, there are three types of popular NoSQL databases.

The thing is, even the most die-hard relational database fan will admit there are times when NoSQL data stores are convenient. With the growth of JSON in Web APIs, it would be nice to be able to store ...