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DBMS > AllegroGraph vs. MonetDB vs. TDengine vs. XTDB

System Properties Comparison AllegroGraph vs. MonetDB vs. TDengine vs. XTDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonTDengine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA relational database management system that stores data in columnsTime Series DBMS and big data platformA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteallegrograph.comwww.monetdb.orggithub.com/­taosdata/­TDengine
tdengine.com
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.monetdb.org/­Documentationdocs.tdengine.comwww.xtdb.com/­docs
DeveloperFranz Inc.MonetDB BVTDEngine, previously Taos DataJuxt Ltd.
Initial release2004200420192019
Current release8.0, December 2023Dec2023 (11.49), December 20233.0, August 20221.19, September 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMozilla Public License 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoMIT License
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.
Implementation languageCCClojure
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.no infobulk load of XML files possiblenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyes infoSQL 2003 with some extensionsStandard SQL with extensions for time-series applicationslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes, in SQL, C, Rnono
Triggersyesyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding via remote tablesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AllegroGraphMonetDBTDengineXTDB infoformerly named Crux
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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