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DBMS > Citus vs. DuckDB vs. Kinetica vs. Percona Server for MongoDB vs. Sphinx

System Properties Comparison Citus vs. DuckDB vs. Kinetica vs. Percona Server for MongoDB vs. Sphinx

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDuckDB  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn embeddable, in-process, column-oriented SQL OLAP RDBMSFully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.citusdata.comduckdb.orgwww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsphinxsearch.com
Technical documentationdocs.citusdata.comduckdb.org/­docsdocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodbsphinxsearch.com/­docs
DeveloperKineticaPerconaSphinx Technologies Inc.
Initial release20102018201220152001
Current release8.1, December 20181.0.0, June 20247.1, August 20213.4.10-2.10, November 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoMIT LicensecommercialOpen Source infoGPL Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C, C++C++C++
Server operating systemsLinuxserver-lessLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 functionalitynonono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesSQL-like DML and DDL statementsnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONProprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsJavaScriptno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelAccess rights for users and rolesno

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CitusDuckDBKineticaPercona Server for MongoDBSphinx
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