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DBMS > Datomic vs. Graph Engine vs. Interbase vs. Teradata Aster

System Properties Comparison Datomic vs. Graph Engine vs. Interbase vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInterbase  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineLight-weight proven RDBMS infooriginally from BorlandPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websitewww.datomic.comwww.graphengine.iowww.embarcadero.com/­products/­interbase
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualdocs.embarcadero.com/­products/­interbase
DeveloperCognitectMicrosoftEmbarcaderoTeradata
Initial release2012201019842005
Current release1.0.7075, December 2023InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and CC
Server operating systemsAll OS with a Java VM.NETAndroid
iOS
Linux
OS X
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possibleyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoInterbase procedure and trigger languageR packages
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersInterbase Change Viewsyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 developmentyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicGraph Engine infoformer name: TrinityInterbaseTeradata Aster
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