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DBMS > Dgraph vs. GBase vs. GigaSpaces vs. Google Cloud Bigtable vs. RDFox

System Properties Comparison Dgraph vs. GBase vs. GigaSpaces vs. Google Cloud Bigtable vs. RDFox

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance knowledge graph and semantic reasoning engine
Primary database modelGraph DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Graph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitedgraph.iowww.gbase.cnwww.gigaspaces.comcloud.google.com/­bigtablewww.oxfordsemantic.tech
Technical documentationdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docsdocs.oxfordsemantic.tech
DeveloperDgraph Labs, Inc.General Data Technology Co., Ltd.Gigaspaces TechnologiesGoogleOxford Semantic Technologies
Initial release20162004200020152017
Current releaseGBase 8a, GBase 8s, GBase 8c15.5, September 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesno infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsSQL-99 for query and DML statementsnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#.Net
C++
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlno infoPlanned for future releasesyesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access types

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More resources
DgraphGBaseGigaSpacesGoogle Cloud BigtableRDFox
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