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DBMS > Apache Doris vs. Kinetica vs. Spark SQL vs. VelocityDB

System Properties Comparison Apache Doris vs. Kinetica vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolFully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.kinetica.comspark.apache.org/­sqlvelocitydb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperApache Software Foundation, originally contributed from BaiduKineticaApache Software FoundationVelocityDB Inc
Initial release2017201220142011
Current release1.2.2, February 20237.1, August 20213.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ScalaC#
Server operating systemsLinuxLinuxLinux
OS X
Windows
Any that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.Net
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
.Net
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoBased on Windows Authentication

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More resources
Apache DorisKineticaSpark SQLVelocityDB
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