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DBMS > Kinetica vs. openGemini vs. Splice Machine vs. SQream DB

System Properties Comparison Kinetica vs. openGemini vs. Splice Machine vs. SQream DB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonopenGemini  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsAn 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 GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.kinetica.comwww.opengemini.org
github.com/­openGemini
splicemachine.comsqream.com
Technical documentationdocs.kinetica.comdocs.opengemini.org/­guidesplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperKineticaHuawei and openGemini communitySplice MachineSQream Technologies
Initial release2012202220142017
Current release7.1, August 20211.1, July 20233.1, March 20212022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
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, C++GoJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesyes, ANSI Standard SQL Types
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJavauser defined functions in Python
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelAdministrators and common users accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
KineticaopenGeminiSplice MachineSQream DB
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