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DBMS > Dgraph vs. GBase vs. HugeGraph vs. Lovefield vs. OceanBase

System Properties Comparison Dgraph vs. GBase vs. HugeGraph vs. Lovefield vs. OceanBase

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonOceanBase  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 DBMSEmbeddable relational database for web apps written in pure JavaScriptA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websitedgraph.iowww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefielden.oceanbase.com
Technical documentationdgraph.io/­docshugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mden.oceanbase.com/­docs/­oceanbase-database
DeveloperDgraph Labs, Inc.General Data Technology Co., Ltd.BaiduGoogleOceanBase infopreviously Alibaba and Ant Group
Initial release20162004201820142010
Current releaseGBase 8a, GBase 8s, GBase 8c0.92.1.12, February 20174.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonJavaJavaScriptC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
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.noyesnonoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like query language infovia JavaScript builder patternyes
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
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#Groovy
Java
Python
JavaScriptAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
TriggersnoyesnoUsing read-only observersyes
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 HBasenonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesyesUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DgraphGBaseHugeGraphLovefieldOceanBase
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