Graph databases are useful for identifying patterns in unstructured and semi-structured information.Ĭustomer experience has quickly become the most important competitive differentiator and ushered the business world into an era of monumental change. Graph databases use graph structures to define the relationships between stored data points.Like key-value stores, wide-column databases have some basic NoSQL structure while also preserving a lot of flexibility Wide-column databases use the tabular format of relational databases yet allow a wide variance in how data is named and formatted in each row, even in the same table.Key-value stores have just enough structure to mirror the value of relational databases (as opposed to non-relational databases) while still preserving the benefits of the NoSQL database structure. Key-value stores group associated data in collections with records that are identified with unique keys for easy retrieval.These systems can also be used for storing XML documents, for a NoSQL database example. Document databases are primarily built for storing information as documents, including, but not limited to, JSON documents.The following defines the four most-popular types of NoSQL database: Consequently, NoSQL databases are built to be flexible, scalable, and capable of rapidly responding to the data management demands of modern businesses. This means a NoSQL JSON database can store and retrieve data using literally “no SQL.” Or you can combine the flexibility of JSON with the power of SQL for the best of both worlds. To be clear, NoSQL stands for “not only SQL” rather than “no SQL” at all. NoSQL database technology stores information in JSON documents instead of columns and rows used by relational databases. What is NoSQL and what is a NoSQL database?
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