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

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

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Editorial information provided by DB-Engines
NameopenGemini  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.opengemini.org
github.com/­openGemini
splicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.opengemini.org/­guidesplicemachine.com/­how-it-works
DeveloperHuawei and openGemini communitySplice MachineAlex Kashirin
Initial release202220142020
Current release1.1, July 20233.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateInteger, Float, Boolean, Stringyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language
APIs and other access methodsHTTP RESTJDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlAdministrators and common users accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
openGeminiSplice MachineSWC-DB infoSuper Wide Column Database
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