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DBMS > Datomic vs. LMDB vs. MarkLogic vs. RDF4J vs. Sadas Engine

System Properties Comparison Datomic vs. LMDB vs. MarkLogic vs. RDF4J vs. Sadas Engine

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLMDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA high performant, light-weight, embedded key-value database libraryOperational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.datomic.comwww.symas.com/­symas-embedded-database-lmdbwww.marklogic.comrdf4j.orgwww.sadasengine.com
Technical documentationdocs.datomic.comwww.lmdb.tech/­docdocs.marklogic.comrdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCognitectSymasMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.
Initial release20122011200120042006
Current release1.0.6735, June 20230.9.32, January 202411.0, December 20228.0
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Sourcecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCC++JavaC++
Server operating systemsAll OS with a Java VMLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes infoRDF Schemasyes
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.nonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyes infoSQL92noyes
APIs and other access methodsRESTful 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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes infovia XQuery or JavaScriptyesno
TriggersBy using transaction functionsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoin-memory storage is supported as wellyes
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlnonoRole-based access control at the document and subdocument levelsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicLMDBMarkLogicRDF4J infoformerly known as SesameSadas Engine
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