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DBMS > Dgraph vs. GBase vs. HugeGraph vs. Spark SQL

System Properties Comparison Dgraph vs. GBase vs. HugeGraph vs. Spark SQL

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A fast-speed and highly-scalable Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sql
Technical documentationdgraph.io/­docshugegraph.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.General Data Technology Co., Ltd.BaiduApache Software Foundation
Initial release2016200420182014
Current releaseGBase 8a, GBase 8s, GBase 8c0.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJavaScala
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Unix
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#Groovy
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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 controlno infoPlanned for future releasesyesUsers, roles and permissionsno

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More resources
DgraphGBaseHugeGraphSpark SQL
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