Best Document Databases

What are Document Databases?

Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures. Compare and read user reviews of the best Document Databases currently available using the table below. This list is updated regularly.

  • 1
    AXIAR

    AXIAR

    LBM Systems

    AXIAR is a suite of software programs that takes output from the text files produced by business applications all the way to indexed images without any user intervention. AXIAR provides vital formatting, connection and management layer between business-critical applications and virtually any output object (printers, fax gateways, email gateways, web destinations, document management systems, and so forth). One of the most difficult tasks in Information Technology today is the management and delivery of business-critical output. For example, in a typical business the accounting process alone generates thousands of sheets of paper and/or digital documents each day; documents such as purchase orders, invoices, and shipping papers, are created and need to be delivered and managed. Similarly, output designed for internal employee use from departments such as Human Resources requires timely and accurate delivery of important information.
    Starting Price: $2,500 one-time payment
  • Previous
  • You're on page 1
  • Next