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DBMS > Datomic vs. Linter vs. OrientDB vs. PostgreSQL vs. SQream DB

System Properties Comparison Datomic vs. Linter vs. OrientDB vs. PostgreSQL vs. SQream DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLinter  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS for high security requirementsMulti-model DBMS (Document, Graph, Key/Value)Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.datomic.comlinter.ruorientdb.orgwww.postgresql.orgsqream.com
Technical documentationdocs.datomic.comwww.orientdb.com/­docs/­last/­index.htmlwww.postgresql.org/­docsdocs.sqream.com
DeveloperCognitectrelex.ruOrientDB LTD; CallidusCloud; SAPPostgreSQL Global Development Group infowww.postgresql.org/­developerSQream Technologies
Initial release2012199020101989 info1989: Postgres, 1996: PostgreSQL2017
Current release1.0.7075, December 20233.2.29, March 202416.3, May 20242022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache version 2Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJava, ClojureC and C++JavaCC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java JDK (>= JDK 6)FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesschema-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 dateyesyesyesyesyes, ANSI Standard SQL Types
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesSQL-like query language, no joinsyes infostandard with numerous extensionsyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
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
.Net
JDBC
ODBC
Supported programming languagesClojure
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLJava, Javascriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions in Python
TriggersBy using transaction functionsyesHooksyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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)yesyesyesyes
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 developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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DatomicLinterOrientDBPostgreSQLSQream DB
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