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DBMS > Adabas vs. Graph Engine vs. Spark SQL vs. Stardog vs. TimesTen

System Properties Comparison Adabas vs. Graph Engine vs. Spark SQL vs. Stardog vs. TimesTen

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationIn-Memory RDBMS compatible to Oracle
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iospark.apache.org/­sqlwww.stardog.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.graphengine.io/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comdocs.oracle.com/­database/­timesten-18.1
DeveloperSoftware AGMicrosoftApache Software FoundationStardog-UnionOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19712010201420101998
Current release3.5.0 ( 2.13), September 20237.3.0, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CScalaJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETLinux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema supportyes
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.nononono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
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 APIJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesNaturalC#
C++
F#
Visual Basic
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresin Naturalyesnouser defined functions and aggregates, HTTP Server extensions in JavaPL/SQL
Triggersnononoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinitySpark SQLStardogTimesTen
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