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DBMS > Kinetica vs. OrigoDB vs. Quasardb vs. Splice Machine

System Properties Comparison Kinetica vs. OrigoDB vs. Quasardb vs. Splice Machine

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series 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
#54  Document stores
#21  Object oriented DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.kinetica.comorigodb.comquasar.aisplicemachine.com
Technical documentationdocs.kinetica.comorigodb.com/­docsdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperKineticaRobert Friberg et alquasardbSplice Machine
Initial release20122009 infounder the name LiveDB20092014
Current release7.1, August 20213.14.1, January 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#C++Java
Server operating systemsLinuxLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infointeger and binaryyes
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 infocan be achieved using .NETno
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using LevelDByes
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 infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles on table levelRole based authorizationCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
KineticaOrigoDBQuasardbSplice Machine
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