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DBMS > GBase vs. LeanXcale vs. Postgres-XL vs. Yanza

System Properties Comparison GBase vs. LeanXcale vs. Postgres-XL vs. Yanza

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonLeanXcale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.gbase.cnwww.leanxcale.comwww.postgres-xl.orgyanza.com
Technical documentationwww.postgres-xl.org/­documentation
DeveloperGeneral Data Technology Co., Ltd.LeanXcaleYanza
Initial release200420152014 infosince 2012, originally named StormDB2015
Current releaseGBase 8a, GBase 8s, GBase 8c10 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC
Server operating systemsLinuxLinux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsyes infothrough Apache Derbyyes infodistributed, parallel query executionno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC#C
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno
Triggersyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardno

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