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DBMS > Adabas vs. Datomic vs. Dragonfly vs. PostgreSQL

System Properties Comparison Adabas vs. Datomic vs. Dragonfly vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelMultivalue DBMSRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument 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
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.postgresql.org
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docswww.postgresql.org/­docs
DeveloperSoftware AGCognitectDragonflyDB team and community contributorsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release1971201220231989 info1989: Postgres, 1996: PostgreSQL
Current release1.0.7075, December 20231.0, March 202316.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSL 1.1Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesscheme-freeyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyes infostandard with numerous extensions
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNaturalClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturalyes infoTransaction FunctionsLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoBut extensive use of caching in the application peerspartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noPassword-based authenticationfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"DatomicDragonflyPostgreSQL
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