Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

The NoSQL Database Management Systems market is set to continue steady growth in 2025, driven by rising enterprise data volumes and increased investment in artificial intelligence. Traditional ...

Alternate data models in NoSQL offerings. Lucene, Solr and ElasticSearch offer text and document indexing functions, for example to implement real-time search as users enter terms. Graph databases ...

MongoDB is an example of a database that can be sharded easily (or even automatically); HBase, Riak, ... However, it's really a mistake to say that NoSQL databases have no schema.

The image below shows how you would write a JOIN in SQL and how you would write a JOIN in N1QL. This is a very simple example. To learn more about what can be done with N1QL visit the Couchbase ...

Developers rely on JSON -- giving rise to NoSQL document databases. VoltDB CTO Ryan Betts predicts JSON will ultimately be incorporated into relational database software, too ...

On the other hand, NoSQL document databases are schema-agnostic. They can handle data variety in the form of JSON or XML documents, and schemas can evolve as data changes over time.

The type of NoSQL database you choose should be based on the type of data you need to store, its size and complexity. Key-Value Stores are the Simplest of NOSQL Databases; A Key Value data model is ...

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience.rn ...