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DBMS > Dgraph vs. HugeGraph vs. Kingbase vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison Dgraph vs. HugeGraph vs. Kingbase vs. Microsoft Azure Synapse Analytics vs. Valentina Server

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerObject-relational database and reports server
Primary database modelGraph DBMSGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedgraph.iogithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cnazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationdgraph.io/­docshugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDgraph Labs, Inc.BaiduBeiJing KINGBASE Information technologies inc.MicrosoftParadigma Software
Initial release20162018199920161999
Current release0.9V8.0, August 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercialcommercial
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 languageGoJavaC and JavaC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnonoStandard with numerous extensionsyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsTransact SQLyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlno infoPlanned for future releasesUsers, roles and permissionsfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
DgraphHugeGraphKingbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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