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XML Databases
XML databases are a type of database that stores, manages, and retrieves data in the XML (Extensible Markup Language) format. These databases are designed to handle semi-structured data, where data is stored in a tree-like structure using tags, making it more flexible than traditional relational databases. XML databases support querying and manipulating XML data using specialized languages such as XPath, XQuery, and XML Schema. They are commonly used in applications that require complex data structures, such as content management systems, document storage, and web services. XML databases allow for efficient handling of large and dynamic datasets while maintaining the hierarchical relationships between elements, making them suitable for applications that need to store and retrieve structured or semi-structured data efficiently.
XML Editors
XML editors are software tools that allow users to create, view, and edit XML (eXtensible Markup Language) files. These tools provide features such as syntax highlighting, validation, auto-completion, and formatting, which make it easier to work with XML data. XML editors also help users ensure that the XML structure is correct and complies with relevant schemas, making them particularly useful for developers working with web services, data exchange, or configuration files. Some XML editors offer advanced features like XPath, XSLT support, and integration with other software development tools.
Database Software
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations.
Data Management Software
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security.
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    IBM Db2
    IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data...
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    MarkLogic

    MarkLogic

    Progress Software

    Unlock data value, accelerate insightful decisions, and securely achieve data agility with the MarkLogic data platform. Combine your data with everything known about it (metadata) in a single service and reveal smarter decisions—faster. Get a faster, trusted way to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise with the MarkLogic data platform. Know your customers in-the-moment and provide relevant...
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    InterSystems IRIS

    InterSystems IRIS

    InterSystems

    InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is the next generation of our proven data management software.It includes the capabilities of InterSystems Cache and Ensemble, plus a wealth of exciting new capabilities to make it easy to build and deploy cloud based, analytics-intensive enterprise applications with...
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    SQL Workbench

    SQL Workbench

    SQL Workbench

    ...Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.
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    GraphDB

    GraphDB

    Ontotext

    ...GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).
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