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DBMS > Citus vs. Kinetica vs. RisingWave

System Properties Comparison Citus vs. Kinetica vs. RisingWave

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKinetica  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFully vectorized database across both GPUs and CPUsA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.citusdata.comwww.kinetica.comwww.risingwave.com/­database
Technical documentationdocs.citusdata.comdocs.kinetica.comdocs.risingwave.com/­docs/­current/­intro
DeveloperKineticaRisingWave Labs
Initial release201020122022
Current release8.1, December 20187.1, August 20211.2, September 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++Rust
Server operating systemsLinuxLinuxDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsUDFs in Python or Java
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
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 configuration
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelUsers and Roles

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More resources
CitusKineticaRisingWave
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