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DBMS > Dgraph vs. HugeGraph vs. openGauss vs. Prometheus

System Properties Comparison Dgraph vs. HugeGraph vs. openGauss vs. Prometheus

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonopenGauss  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitedgraph.iogithub.com/­hugegraph
hugegraph.apache.org
gitee.com/­opengauss
opengauss.org
prometheus.io
Technical documentationdgraph.io/­docshugegraph.apache.org/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
prometheus.io/­docs
DeveloperDgraph Labs, Inc.BaiduHuawei and openGauss community
Initial release2016201820192015
Current release0.93.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen 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 languageGoJavaC, C++, JavaGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
LinuxLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnonoANSI SQL 2011no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
C
C++
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyesno
Triggersnonoyesno
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)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoedges in graphyesno
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.yesnono
User concepts infoAccess controlno infoPlanned for future releasesUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standardno

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More resources
DgraphHugeGraphopenGaussPrometheus
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