Document-oriented database products

16,970 Companies

What is Document-oriented database?


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.

Market Share of Document-oriented database products


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 16,970 companies using these products.

Document-oriented database
Document-oriented database
16,970
Companies using Document-oriented database
Document-oriented database
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    Product Install base
    # of companies we found using this product
    Market Share
    DynamoDB 10,820 63%
    Altova MissionKit 1,863 10%
    Azure Cosmos DB 1,821 10%
    RavenDB 811 < 5%
    RethinkDB 643 < 5%
    Oracle Coherence 533 < 5%
    Azure Table Storage 213 < 5%
    Apache Parquet 78 < 5%
    TokuMX 62 < 5%
    eXistdb 38 < 5%
    ArangoDB 29 < 5%
    Amazon WorkDocs 20 < 5%
    BaseX 19 < 5%
    HyperDex 11 < 5%
    Clusterpoint 9 < 5%

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