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DBMS > Adabas vs. GridGain vs. HugeGraph vs. PostgreSQL vs. Valentina Server

System Properties Comparison Adabas vs. GridGain vs. HugeGraph vs. PostgreSQL vs. Valentina Server

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostgreSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLObject-relational database and reports server
Primary database modelMultivalue DBMSKey-value store
Relational DBMS
Graph DBMSRelational 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 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
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.postgresql.orgwww.valentina-db.net
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docswww.postgresql.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSoftware AGGridGain Systems, Inc.BaiduPostgreSQL Global Development Group infowww.postgresql.org/­developerParadigma Software
Initial release1971200720181989 info1989: Postgres, 1996: PostgreSQL1999
Current releaseGridGain 8.5.10.916.3, May 20245.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
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.noyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayANSI-99 for query and DML statements, subset of DDLnoyes infostandard with numerous extensionsyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesNaturalC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresin Naturalyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingyes infodepending on used storage backend, e.g. Cassandra and HBasepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Security Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"GridGainHugeGraphPostgreSQLValentina Server
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