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DBMS > Datomic vs. IBM Db2 Event Store vs. Interbase vs. TimesTen

System Properties Comparison Datomic vs. IBM Db2 Event Store vs. Interbase vs. TimesTen

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.datomic.comwww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasedocs.oracle.com/­database/­timesten-18.1
DeveloperCognitectIBMEmbarcaderoOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201719841998
Current release1.0.6735, June 20232.0InterBase 2020, December 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree developer edition availablecommercialcommercial
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 and C++C
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
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 possibleno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesClojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoInterbase procedure and trigger languagePL/SQL
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive-active shard replicationInterbase Change ViewsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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.yes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicIBM Db2 Event StoreInterbaseTimesTen
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