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DBMS > LeanXcale vs. Memcached vs. openGauss

System Properties Comparison LeanXcale vs. Memcached vs. openGauss

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMemcached  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory key-value store, originally intended for cachingAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitewww.leanxcale.comwww.memcached.orggitee.com/­opengauss
opengauss.org
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperLeanXcaleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHuawei and openGauss community
Initial release201520032019
Current release1.6.25, March 20243.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++, Java
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-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.no
Secondary indexesnoyes
SQL infoSupport of SQLyes infothrough Apache DerbynoANSI SQL 2011
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocolJDBC
ODBC
Supported programming languagesC
Java
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standard

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More resources
LeanXcaleMemcachedopenGauss
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