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DBMS > Datomic vs. Interbase vs. Teradata Aster vs. Tigris

System Properties Comparison Datomic vs. Interbase vs. Teradata Aster vs. Tigris

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterbase  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigris  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 durabilityLight-weight proven RDBMS infooriginally from BorlandPlatform for big data analytics on multistructured data sources and typesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.datomic.comwww.embarcadero.com/­products/­interbasewww.tigrisdata.com
Technical documentationdocs.datomic.comdocs.embarcadero.com/­products/­interbasewww.tigrisdata.com/­docs
DeveloperCognitectEmbarcaderoTeradataTigris Data, Inc.
Initial release2012198420052022
Current release1.0.7075, December 2023InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
macOS
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.nono infoexport as XML data possibleyes infoin Aster File Storeno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoInterbase procedure and trigger languageR packagesno
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding
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.yes
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 configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes, using FoundationDB
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 developmentyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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DatomicInterbaseTeradata AsterTigris
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