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DBMS > MarkLogic vs. OrientDB vs. Postgres-XL vs. TDengine

System Properties Comparison MarkLogic vs. OrientDB vs. Postgres-XL vs. TDengine

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTime Series DBMS and big data platform
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.marklogic.comorientdb.orgwww.postgres-xl.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.marklogic.comwww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentationdocs.tdengine.com
DeveloperMarkLogic Corp.OrientDB LTD; CallidusCloud; SAPTDEngine, previously Taos Data
Initial release200120102014 infosince 2012, originally named StormDB2019
Current release11.0, December 20223.2.29, March 202410 R1, October 20183.0, August 2022
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache version 2Open Source infoMozilla public licenseOpen Source infoAGPL V3, also commercial editions available
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 languageC++JavaCC
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK (>= JDK 6)Linux
macOS
Linux
Windows
Data schemeschema-free infoSchema can be enforcedschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
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.yesnoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoSQL92SQL-like query language, no joinsyes infodistributed, parallel query executionStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava, Javascriptuser defined functionsno
TriggersyesHooksyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes, with Range Indexesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standardyes
More information provided by the system vendor
MarkLogicOrientDBPostgres-XLTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh 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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