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DBMS > Graph Engine vs. HBase vs. HugeGraph vs. Postgres-XL

System Properties Comparison Graph Engine vs. HBase vs. HugeGraph vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Key-value store
Wide column storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.graphengine.iohbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.postgres-xl.org
Technical documentationwww.graphengine.io/­docs/­manualhbase.apache.org/­book.htmlhugegraph.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperMicrosoftApache Software Foundation infoApache top-level project, originally developed by PowersetBaidu
Initial release2010200820182014 infosince 2012, originally named StormDB
Current release2.3.4, January 20210.910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaJavaC
Server operating systems.NETLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
macOS
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javaasynchronous Gremlin script jobsuser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityHBaseHugeGraphPostgres-XL
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