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DBMS > Adabas vs. Datomic vs. Firebird vs. Graph Engine vs. Hive

System Properties Comparison Adabas vs. Datomic vs. Firebird vs. Graph Engine vs. Hive

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonFirebird  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  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 durabilityFirebird is an open source RDBMS forked from Borland's InterBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMS
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
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comwww.firebirdsql.orgwww.graphengine.iohive.apache.org
Technical documentationdocs.datomic.comwww.firebirdsql.org/­en/­reference-manualswww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSoftware AGCognitectFirebird FoundationMicrosoftApache Software Foundation infoinitially developed by Facebook
Initial release197120122000 infoAs fork of Borland's InterBase20102012
Current release1.0.7075, December 20235.0.0, January 20243.1.3, April 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoInitial Developer's Public LicenseOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++.NET and CJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
.NETAll OS with a Java VM
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesnoSQL-like DML and DDL statements
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 APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languagesNaturalClojure
Java
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
Server-side scripts infoStored proceduresin Naturalyes infoTransaction FunctionsPSQLyesyes infouser defined functions and integration of map-reduce
TriggersnoBy using transaction functionsyesnono
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 peersnonehorizontal partitioningSharding
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 replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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 developmentyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noUsers with fine-grained authorization conceptAccess rights for users, groups and roles

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