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DBMS > GBase vs. Google Cloud Bigtable vs. LeanXcale vs. openGauss vs. Stardog

System Properties Comparison GBase vs. Google Cloud Bigtable vs. LeanXcale vs. openGauss vs. Stardog

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonopenGauss  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.gbase.cncloud.google.com/­bigtablewww.leanxcale.comgitee.com/­opengauss
opengauss.org
www.stardog.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.stardog.com
DeveloperGeneral Data Technology Co., Ltd.GoogleLeanXcaleHuawei and openGauss communityStardog-Union
Initial release20042015201520192010
Current releaseGBase 8a, GBase 8s, GBase 8c3.0, March 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC, C++, JavaJava
Server operating systemsLinuxhostedLinuxLinux
macOS
Windows
Data schemeyesschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnonono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLStandard with numerous extensionsnoyes infothrough Apache DerbyANSI SQL 2011Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardinghorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
GBaseGoogle Cloud BigtableLeanXcaleopenGaussStardog
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