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SPECIFICTION
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BaseX vs DocumentDB

BaseX

basex.org

DocumentDB

documentdb.io

Side by side

FigureBaseXDocumentDB
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Document Databases8.1 (#10)8.6 (#5)
ProductBaseX is an XML database engine and XQuery processor with support for the W3C Update and Full Text extensions.DocumentDB is an open-source, MongoDB-compatible document database built on PostgreSQL.
SupportBaseX GmbH provides professional support, individual software development, and training on XML technologies.The getting-started documentation lists Discord for community syncs, office hours, technical support, migration assistance, and best-practice sharing.

Plans

BaseX

  • BaseXFree

BaseX pricing →

DocumentDB

  • DocumentDBFree

DocumentDB pricing →

In their own words

BaseX

BaseX is a free, open-source XML database engine and XQuery processor for data-intensive web applications. It stores XML documents, binary data, and XQuery values, and handles XML, HTML, JSON, and CSV formats. Its XQuery 4.0 processor supports the W3C Update and Full Text extensions. You can operate it from the command line, in client/server mode, or through desktop and web interfaces. The graphical interface provides a query editor with syntax highlighting, keyword search, interactive visualizations, and server administration. RESTXQ supports building web applications with XQuery, while the server offers REST and WebDAV access to databases and resources. Concurrent reads, ACID-safe write transactions, user permissions, and secure authentication are supported. BaseX runs on Linux, macOS, and Windows, with API and self-hosted deployment listed. Java 17 or higher is required, and Adoptium distributions are recommended. The BaseX plan costs nothing.

Visit basex.org

DocumentDB

DocumentDB is an MIT-licensed, open-source document database built on PostgreSQL for MongoDB compatibility. It stores native BSON documents, supports document CRUD and PostgreSQL SQL operations, and offers single-field, multi-key, compound, text and geospatial indexes, including nested fields. Pgvector powers vector search for embeddings and similarity search. MongoDB-compatible clients and tools include mongosh, PyMongo, the official MongoDB Node.js driver and a VS Code extension. The extension can create a local database, generate credentials and save a connection. DocumentDB runs locally in Docker or on a user’s infrastructure or cloud. Its gateway supports SCRAM-SHA-256 authentication, with TLS terminating at default port 10260. Hosted packages currently cover Ubuntu 24.04 and EL9 with PostgreSQL 17 or 18 for amd64 and arm64. A Kubernetes operator for failover, replication, backups and TLS is in preview and requires Kubernetes 1.35+ and cert-manager.

Visit documentdb.io