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DBMS > Datastax Enterprise vs. MonetDB vs. ObjectBox vs. RDFox

System Properties Comparison Datastax Enterprise vs. MonetDB vs. ObjectBox vs. RDFox

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A relational database management system that stores data in columnsExtremely fast embedded database for small devices, IoT and MobileHigh performance knowledge graph and semantic reasoning engine
Primary database modelWide column storeRelational DBMSObject oriented DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.monetdb.orgobjectbox.iowww.oxfordsemantic.tech
Technical documentationdocs.datastax.comwww.monetdb.org/­Documentationdocs.objectbox.iodocs.oxfordsemantic.tech
DeveloperDataStaxMonetDB BVObjectBox LimitedOxford Semantic Technologies
Initial release2011200420172017
Current release6.8, April 2020Dec2023 (11.49), December 20236.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaCC and C++C++
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infoSQL 2003 with some extensionsnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
Java
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoSource-replica replication available in experimental statusonline/offline synchronization between client and serverreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardyesRoles, resources, and access types
More information provided by the system vendor
Datastax EnterpriseMonetDBObjectBoxRDFox
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
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