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DBMS > etcd vs. openGauss

System Properties Comparison etcd vs. openGauss

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionA distributed reliable key-value storeAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
gitee.com/­opengauss
opengauss.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperHuawei and openGauss community
Initial release2019
Current release3.4, August 20193.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++, Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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
Secondary indexesnoyes
SQL infoSupport of SQLnoANSI SQL 2011
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
etcdopenGauss
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