DBMS > BaseX vs. MongoDB vs. Postgres-XL
System Properties Comparison BaseX vs. MongoDB vs. Postgres-XL
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|Editorial information provided by DB-Engines|
|Name||BaseX Xexclude from comparison||MongoDB Xexclude from comparison||Postgres-XL Xexclude from comparison|
|Description||Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Based on PostgreSQL enhanced with MPP and write-scale-out cluster features|
|Primary database model||Native XML DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|Developer||BaseX GmbH||MongoDB, Inc|
|Initial release||2007||2009||2014 since 2012, originally named StormDB|
|Current release||10.7, August 2023||6.0.7, June 2023||10 R1, October 2018|
|License Commercial or Open Source||Open Source BSD license||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Mozilla public license|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.|
|Server operating systems||Linux|
|Data scheme||schema-free||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||yes|
|Typing predefined data types such as float or date||no XQuery supports types||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes XML type, but no XML query functionality|
|SQL Support of SQL||no||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes distributed, parallel query execution|
|APIs and other access methods||Java API|
RESTful HTTP API
proprietary protocol using JSON
native C library
streaming API for large objects
|Supported programming languages||Actionscript|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes via events||yes in MongoDB Atlas only||yes|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||multiple readers, single writer||Multi-document ACID Transactions with snapshot isolation||ACID MVCC|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes In-memory storage engine introduced with MongoDB version 3.2||no|
|User concepts Access control||Users with fine-grained authorization concept on 4 levels||Access rights for users and roles||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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