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DBMS > Splice Machine vs. SWC-DB vs. TerarkDB

System Properties Comparison Splice Machine vs. SWC-DB vs. TerarkDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSWide column storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitesplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­bytedance/­terarkdb
Technical documentationsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSplice MachineAlex KashirinByteDance, originally Terark
Initial release201420202016
Current release3.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLyesSQL-like query languageno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
C++ API
Java API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++C++
Java
Server-side scripts infoStored proceduresyes infoJavanono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Splice MachineSWC-DB infoSuper Wide Column DatabaseTerarkDB
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