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DBMS > Altibase vs. SpatiaLite vs. Splice Machine vs. TerminusDB vs. TimesTen

System Properties Comparison Altibase vs. SpatiaLite vs. Splice Machine vs. TerminusDB vs. TimesTen

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSSpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsAn 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 DBMSSpatial DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitealtibase.comwww.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.comterminusdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#docs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAltibaseAlessandro FurieriSplice MachineDataChemist Ltd.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19992008201420181998
Current releasev7.3, 2023, August 20235.0.0, August 20203.1, March 202111.0.0, January 2023Release 22.1
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaProlog, Rust
Server operating systemsAIX
HP-UX
Linux
server-lessLinux
OS X
Solaris
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92yesyesSQL-like query language (WOQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infoJavayesPL/SQL
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
Journaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes 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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
AltibaseSpatiaLiteSplice MachineTerminusDB infoformer name was DataChemistTimesTen
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