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DBMS > ObjectBox vs. Splice Machine vs. TimesTen vs. Titan

System Properties Comparison ObjectBox vs. Splice Machine vs. TimesTen vs. Titan

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionExtremely fast embedded database for small devices, IoT and MobileOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteobjectbox.iosplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­thinkaurelius/­titan
Technical documentationdocs.objectbox.iosplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1github.com/­thinkaurelius/­titan/­wiki
DeveloperObjectBox LimitedSplice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Aurelius, owned by DataStax
Initial release2017201419982012
Current release3.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoApache license, 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 languageC and C++JavaJava
Server operating systemsAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsProprietary native APIJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infoJavaPL/SQLyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioningnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
ObjectBoxSplice MachineTimesTenTitan
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13 June 2023

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