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DBMS > Citus vs. Memcached vs. openGauss vs. Valentina Server vs. YottaDB

System Properties Comparison Citus vs. Memcached vs. openGauss vs. Valentina Server vs. YottaDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMemcached  Xexclude from comparisonopenGauss  Xexclude from comparisonValentina Server  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLIn-memory key-value store, originally intended for cachingAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiObject-relational database and reports serverA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.citusdata.comwww.memcached.orggitee.com/­opengauss
opengauss.org
www.valentina-db.netyottadb.com
Technical documentationdocs.citusdata.comgithub.com/­memcached/­memcached/­wikidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
valentina-db.com/­docs/­dokuwiki/­v5/­doku.phpyottadb.com/­resources/­documentation
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHuawei and openGauss communityParadigma SoftwareYottaDB, LLC
Initial release20102003201919992001
Current release8.1, December 20181.6.25, March 20243.0, March 20225.7.5
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoBSD licenseOpen SourcecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC, C++, JavaC
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Docker
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoANSI SQL 2011yesby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolJDBC
ODBC
ODBCPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
CitusMemcachedopenGaussValentina ServerYottaDB
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