Best Web-Based XML Databases of 2025

BigQuery offers extensive support for various data formats, including XML, making it an ideal choice for companies that handle XML as well as other structured and semi-structured data types. The platform's adaptability enables users to efficiently load, query, and manage XML data, facilitating the integration of XML with different data formats for thorough analysis. With its robust query engine, BigQuery allows for the rapid processing of XML data, even when dealing with substantial datasets. New users can take advantage of a $300 credit to explore BigQuery's XML features, allowing them to assess how the platform manages XML in conjunction with other formats. This functionality positions BigQuery as a versatile solution for a wide range of data processing requirements.

InterSystems IRIS, a cloud-first data platform, is a multi-model transactional database management engine, application development platform, interoperability engine and open analytics platform. InterSystems IRIS offers a variety of APIs that allow you to work with transactional persistent data simultaneously. These include key-value, relational and object, document, and multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS features an Interoperability engine as well as modules for building AI solutions. InterSystems IRIS features horizontal scalability (sharding and ECP), and High Availability features such as Business intelligence, transaction support and backup.

In contemporary enterprises, the surge of Big Data trends and XBRL requirements is generating vast and continuously expanding volumes of data in various formats such as XML, XBRL, JSON, and Avro. Fortunately, there is now a state-of-the-art, lightning-fast engine designed to validate, process, transform, and query all of this data efficiently. RaptorXML guarantees strict adherence to all pertinent XML, XBRL, and JSON standards and undergoes thorough regression and conformance testing, utilizing Altova’s extensive in-house collection of test suites along with industry-standard testing and real-world customer scenarios. As the popularity of JSON continues to grow, so does the necessity for ensuring the accuracy and validity of data transactions, which RaptorXML addresses by offering comprehensive features for JSON syntax checking, validation, and JSON Schema compliance. This engine not only streamlines data handling but also enhances reliability in data exchanges.

Berkeley DB encompasses a suite of embedded key-value database libraries that deliver scalable and high-performance data management functionalities for various applications. Its products utilize straightforward function-call APIs for accessing and managing data efficiently. With Berkeley DB, developers can create tailored data management solutions that bypass the typical complexities linked with custom projects. The library offers a range of reliable building-block technologies that can be adapted to meet diverse application requirements, whether for handheld devices or extensive data centers, catering to both local storage needs and global distribution, handling data volumes that range from kilobytes to petabytes. This versatility makes Berkeley DB a preferred choice for developers looking to implement efficient data solutions.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

MissionKit is a comprehensive suite of enterprise-level development tools specifically designed for information architects and application developers, encompassing XML, JSON, SQL, and UML functionalities. This suite features renowned products like Altova XMLSpy, MapForce, and StyleVision, among others, which are essential for crafting effective software solutions in today's complex digital landscape. By leveraging the synergy of the Altova MissionKit tools, users can significantly reduce both development time and costs. Rather than acquiring each product separately, opting for MissionKit provides access to seven powerful tools for the price of just two!* The Altova XMLSpy editor, known for its exceptional capabilities in handling JSON and XML, includes a top-tier graphical schema designer, file converters, debuggers, profilers, and complete database integration, along with support for technologies such as XSLT, XPath, XQuery, WSDL, SOAP, XBRL, and Open XML (OOXML), as well as seamless integration with platforms like Visual Studio and Eclipse. With this suite, developers can streamline their processes and enhance their productivity, making it an invaluable investment for any software development project.

StyleVision simplifies the intricacies of XSLT coding by enabling users to create reports and forms through a visual interface. With an intuitive drag-and-drop mechanism, you can develop intricate designs for publishing XML, XBRL, or database information across various formats. The process of crafting XSLT stylesheets for report generation in StyleVision is remarkably adaptable, supported by smart menus and entry assistance pop-ups. Its advanced stylesheet capabilities allow for the establishment of conditional templates, automatic calculations, and enhanced input formatting, among others. StyleVision is particularly well-suited for multi-channel or multi-format publishing of business reports. Regardless of whether you aim to publish XML, database, or XBRL data—or a blend of these formats—StyleVision makes it straightforward to design advanced reports using its drag-and-drop approach. Furthermore, you can streamline your multi-channel report publishing tasks by utilizing the generated XSL stylesheets or through the efficient StyleVision Server, ensuring that your reporting needs are met with ease and precision. Overall, StyleVision not only enhances productivity but also empowers users to focus on creativity while handling complex data formats.

DiffDog offers robust features that enable users to compare and merge various types of text files, supporting formats like Unicode, ASCII, and MBCS, among others. The tool facilitates bi-directional merging and enables users to edit both files in the comparison directly. Additionally, DiffDog automatically backs up each file, providing the option to revert to the original version from the server or disk if needed. Its XML differencing and editing functionalities are enhanced by Altova’s expertise as the developer of XMLSpy, a leading tool in XML development. With features such as validation checks, well-formedness assessment, code completion, and DTD/schema entry assistance, DiffDog proves to be an essential tool for web and software developers engaged in XML work. This powerful utility not only streamlines the development process but also helps ensure accuracy and efficiency in managing text-based files.

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

Altova XMLSpy stands out as the top-selling editor globally for JSON and XML, offering an array of tools for modeling, editing, transforming, and debugging these technologies. With its advanced graphical schema designer, code generation capabilities, file converters, and debugging tools, XMLSpy equips developers with everything they need to create complex applications, supporting formats such as XSD, XSLT, XQuery, XBRL, and SOAP. Developers often seek a JSON and XML editor that goes beyond mere bracket matching and basic validation, and XMLSpy delivers a robust feature set including graphical views, intuitive code generators, wizards, and intelligent editing functionalities that significantly enhance productivity. By simplifying the editing process for XML and associated technologies, XMLSpy features an easy-to-navigate interface enriched with diverse views and options. No matter your preference for a text-based or graphical XML viewer, XMLSpy is designed to provide smart assistance throughout the editing experience, ensuring a seamless workflow. Ultimately, XMLSpy transforms the way developers interact with JSON and XML, making it an indispensable tool in their toolkit.

Flexter is an entirely automated solution that eliminates the need for coding skills, allowing users to efficiently un-silo industry-standard XML data and transform it into a format suitable for database use. Regardless of the industry, data is often stored in formats that require careful extraction and interpretation to be useful, creating challenges for effective analysis. What sets Flexter apart in the realm of data management and warehousing is its capability to fully automate the data conversion process. This issue is particularly prevalent in sectors like insurance, finance, healthcare, travel, and retail, where conventional methods for accessing and analyzing vital data can be slow, tedious, and costly. Such inefficiencies hinder the timely flow of information that data analysts require, ultimately affecting crucial decision-making at higher organizational levels. By streamlining this process, Flexter allows businesses to allocate more time and resources toward delivering value while ensuring that critical data is swiftly converted into a format that is both readable and ready for analysis, thereby enhancing overall productivity and decision-making capabilities. In today’s fast-paced environment, the ability to quickly access and analyze data is essential for maintaining a competitive edge.

Sonic XML Server™ offers a comprehensive suite of rapid processing, storage, and querying capabilities specifically designed for XML documents essential in managing the operational data of Sonic ESB. By handling XML messages in their native format, the XML Server ensures high-speed performance without imposing limitations on the XML message structure. The introduction of Extensible Markup Language (XML) marked a significant advancement as it is a versatile data format that operates independently of both hardware and software. XML's ability to convey information without being tied to specific system or application formatting rules makes it a vital technology for enabling the seamless exchange of diverse data types. Despite its advantages, this flexibility often demands substantial time and resources for processing XML structures. The Sonic XML Server addresses this challenge by delivering efficient processing and storage solutions for operational data, crucial for the effective implementation of a service-oriented architecture. Moreover, Sonic XML Server not only improves but also expands the XML message processing capabilities of Sonic ESB through its integrated native query, storage, and processing services, thereby enhancing overall system performance. Thus, users can experience a significant boost in efficiency and effectiveness when working with XML data.

By completing a single installation step, you gain access to all the necessary tools at once. This eliminates the hassle of configuring various system components separately. The platform is fully equipped with features, enabling the development of sophisticated applications with ease. Utilizing XML throughout all layers renders mapping technologies unnecessary and boosts overall productivity. Additionally, every version of eXist-db is Open Source, making it suitable for academic, non-commercial, and commercial use alike. This flexibility ensures that developers can leverage its capabilities across a wide range of projects.

Apache Xerces is a collaborative initiative aimed at delivering reliable, feature-rich, commercial-grade, and freely accessible XML parsers along with other associated technologies across a broad spectrum of platforms and programming languages. This project is executed in partnership with a diverse group of individuals from around the globe, including independent contributors and professionals affiliated with various companies, who utilize the Internet for communication, planning, and software development related to XML and its documentation. The primary goal of Apache Xerces is to foster the adoption of XML, which we believe serves as an effective framework for organizing data into meaningful information, thus enhancing the processes of exchange, transformation, and presentation of knowledge. The capability to convert raw data into actionable information holds significant promise for enhancing the performance and application of information systems. By striving to create openly available XML parsers and related technologies, we aim to drive these advancements and make significant contributions to the field of data management. The collaborative nature of this project ensures that it benefits from a wide range of expertise and perspectives, ultimately leading to more innovative solutions in XML processing.

Anakia offers a potentially more accessible learning curve compared to XSL while still delivering comparable functionality. Users can avoid the complexities of cryptic <xsl:> tags, focusing instead on utilizing Context objects, JDOM, and the straightforward directives provided by Velocity. Moreover, Anakia demonstrates superior performance compared to Xalan's XSL processor, generating 23 pages in just 7-8 seconds on a PIII 500 MHz system running Win98 and JDK 1.3, while a similar setup with Ant's <style> task took nearly double that time at 14-15 seconds. Originally designed to succeed Stylebook, which was meant for creating basic static websites with a uniform appearance, Anakia is particularly well-suited for documentation or project websites, as evidenced by the examples on www.apache.org and jakarta.apache.org. While it excels in its intended role, it lacks some of the additional features offered by XSL, which may be a consideration for developers with more complex needs. Overall, Anakia's focus and efficiency make it a compelling choice for specific web development tasks.

Apache XML Security for Java provides a comprehensive suite that encompasses the JSR-105 (Java XML Digital Signature) API, a well-established implementation of XML Signature and XML Encryption based on DOM, along with a newer streaming implementation utilizing StAX for both XML Signature and XML Encryption. It offers the capability to designate a security provider while working with org.apache.xml.security.signature.XMLSignature. Additionally, it includes enhancements that allow for the customization of the parsing process of an InputStream into a DOM Document, thereby increasing its flexibility and usability in various applications. This library serves as an essential tool for developers aiming to implement robust XML security in their Java applications.

The Apache Xalan Project is responsible for creating and maintaining libraries and applications that utilize XSLT standard stylesheets to convert XML documents. Our various subprojects are implemented using Java and C++ programming languages for developing the XSLT libraries. The version 2.7.2 of Xalan-Java was released in April 2014 and is available for download for your development needs. You can also find ongoing work in the subversion repository. This latest release addresses a security vulnerability that was identified in version 2.7.1, which is still accessible through the Apache Archives. As a well-established project, there are ongoing discussions concerning the potential support for XPath-2. We invite your assistance in this significant overhaul of the library. Contributions and updates can be shared on the Java users and developers mailing lists, fostering collaboration and innovation within the community. Your involvement could greatly enhance our collective efforts to improve the library further.

The Apache Axiom™ library offers a compliant object model for XML Infoset that facilitates the on-demand construction of the object tree. Its innovative "pull-through" approach enables users to disable tree construction and directly interact with the underlying pull event stream via the StAX API. Additionally, it incorporates support for XML Optimized Packaging (XOP) and MTOM, enabling efficient and seamless transmission of binary data within XML. This combination results in a user-friendly API with a highly efficient architecture. Originally developed as a component of Apache Axis2, Apache Axiom serves as the fundamental element of that framework; nevertheless, it functions as a standalone XML Infoset model with unique capabilities that can be utilized independently of Apache Axis2, making it a versatile choice for developers. Its capacity to handle both structured and unstructured data enhances its appeal in various applications.