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DBMS > HugeGraph vs. Kinetica vs. NebulaGraph vs. Postgres-XL

System Properties Comparison HugeGraph vs. Kinetica vs. NebulaGraph vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonNebulaGraph  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsA distributed, linear scalable, high perfomant Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.postgres-xl.org
Technical documentationhugegraph.apache.org/­docsdocs.kinetica.comdocs.nebula-graph.iowww.postgres-xl.org/­documentation
DeveloperBaiduKineticaVesoft Inc.
Initial release2018201220192014 infosince 2012, originally named StormDB
Current release0.97.1, August 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoMozilla public license
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 languageJavaC, C++C++C
Server operating systemsLinux
macOS
Unix
LinuxLinuxLinux
macOS
Data schemeyesyesStrong typed schemayes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyes infoalso supports composite index and range indexyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Java
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsuser defined functionsuser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and roles on table levelRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
HugeGraphKineticaNebulaGraphPostgres-XL
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
HugeGraphKineticaNebulaGraphPostgres-XL
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