A document-oriented database, or document store, is a computer program designed for storing, retrieving and managing document-oriented information, also known as semi-structured data. Document-oriented databases are one of the main categories of NoSQL databases, and the popularity of the term "document-oriented database" has grown with the use of the term NoSQL itself. XML databases are a subclass of document-oriented databases that are optimized to work with XML documents. Graph databases are similar, but add another layer, the relationship, which allows them to link documents for rapid traversal. Document-oriented databases are inherently a subclass of the key-value store, another NoSQL database concept. The difference lies in the way the data is processed; in a key-value store the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.
At enlyft, we use sophisticated, patent-pending algorithms to track the use of various Document-oriented database products and technologies. We track 15 products in the Document-oriented database category, and have found 15,251 companies using these products.
(# of companies we found using this product)
|Market Share (%)|
|Azure Cosmos DB||1,319||8%|
|Oracle Coherence||213||< 5%|
|Azure Table Storage||76||< 5%|
|Apache Parquet||30||< 5%|
|Amazon WorkDocs||20||< 5%|