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DBMS > BaseX vs. Hypertable vs. MongoDB

System Properties Comparison BaseX vs. Hypertable vs. MongoDB

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonHypertable  Xexclude from comparisonMongoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An open source BigTable implementation based on distributed file systems such as HadoopOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelNative XML DBMSWide column storeDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#130  Overall
#4  Native XML DBMS
Score420.36
Rank#5  Overall
#1  Document stores
Websitebasex.orgwww.mongodb.com
Technical documentationdocs.basex.orgwww.mongodb.com/­docs/­manual
DeveloperBaseX GmbHHypertable Inc.MongoDB, Inc
Initial release200720092009
Current release10.7, August 20230.9.8.11, March 20166.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase 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.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoAlthough 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.
Typing infopredefined data types such as float or dateno infoXQuery supports typesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
C++ API
Thrift
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesnoJavaScript
Triggersyes infovia eventsnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnoAccess rights for users and roles
More information provided by the system vendor
BaseXHypertableMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
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