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DBMS > Splice Machine vs. SQLite vs. TerarkDB vs. Ultipa

System Properties Comparison Splice Machine vs. SQLite vs. TerarkDB vs. Ultipa

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparisonTerarkDB  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.11
Rank#338  Overall
#32  Graph DBMS
Websitesplicemachine.comwww.sqlite.orggithub.com/­bytedance/­terarkdbwww.ultipa.com
Technical documentationsplicemachine.com/­how-it-workswww.sqlite.org/­docs.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.ultipa.com/­document
DeveloperSplice MachineDwayne Richard HippByteDance, originally TerarkUltipa
Initial release2014200020162019
Current release3.1, March 20213.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic Domaincommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
OS X
Solaris
Windows
server-less
Data schemeyesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyes infonot rigid because of 'dynamic typing' concept.no
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 indexesyesyesno
SQL infoSupport of SQLyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
C++ API
Java API
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavanono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Splice MachineSQLiteTerarkDBUltipa
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