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 ...

Users of NoSQL databases and data processing frameworks such as CouchDB and Hadoop are deploying these new technologies for their speed, scalability and flexibility, judging from a number of ...

The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...

While NoSQL databases do provide significantly more developer agility and flexibility, they shouldn’t be used recklessly. Here are some key best practices and strategies to ensure a successful ...

SEE: NoSQL resources to help migrate from an RDBMS NoSQL database. A NoSQL database is designed for high operational speed and flexibility in the types of data stored and how it is structured.

Using NoSQL—and particularly document databases—for building custom content-driven applications gives the flexibility not only to store a wide variety of content but also to provide fast ...

Most NoSQL databases are good at offering schema-flexibility and scale-out but other enterprise features such as security and transactional capabilities are only on a roadmap.

Users of NoSQL databases and data processing frameworks such as CouchDB and Hadoop are deploying these new technologies for their speed, scalability and flexibility, judging from a number of ...

User case studies at NoSQL Now conference show the variety of reasons why new technologies are being deployed over traditional relational databases ...