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DBMS > Datomic vs. Graph Engine vs. MarkLogic vs. Quasardb

System Properties Comparison Datomic vs. Graph Engine vs. MarkLogic vs. Quasardb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOperational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMS
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.datomic.comwww.graphengine.iowww.progress.com/­marklogicquasar.ai
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualwww.progress.com/­marklogic/­documentationdoc.quasar.ai/­master
DeveloperCognitectMicrosoftMarkLogic Corp.quasardb
Initial release2012201020012009
Current release1.0.7075, December 202311.0, December 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT Licensecommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and CC++C++
Server operating systemsAll OS with a Java VM.NETLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nonoyesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLnonoyes infoSQL92SQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infovia XQuery or JavaScriptno
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes, with Range Indexesyes infoTransient mode
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trail

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More resources
DatomicGraph Engine infoformer name: TrinityMarkLogicQuasardb
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