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DBMS > Interbase vs. Kinetica vs. Riak KV vs. TimesTen

System Properties Comparison Interbase vs. Kinetica vs. Riak KV vs. TimesTen

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value storeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperEmbarcaderoKineticaOpenSource, formerly Basho TechnologiesOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1984201220091998
Current releaseInterBase 2020, December 20197.1, August 20213.2.0, December 2022Release 22.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++Erlang
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxLinux
OS X
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.no infoexport as XML data possiblenonono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageuser defined functionsErlangPL/SQL
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
InterbaseKineticaRiak KVTimesTen
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