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DBMS > Apache Phoenix vs. Graph Engine vs. Greenplum vs. HugeGraph

System Properties Comparison Apache Phoenix vs. Graph Engine vs. Greenplum vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGreenplum  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitephoenix.apache.orgwww.graphengine.iogreenplum.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationphoenix.apache.orgwww.graphengine.io/­docs/­manualdocs.greenplum.orghugegraph.apache.org/­docs
DeveloperApache Software FoundationMicrosoftPivotal Software Inc.Baidu
Initial release2014201020052018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJava
Server operating systemsLinux
Unix
Windows
.NETLinuxLinux
macOS
Unix
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
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.nonoyes infosince Version 4.2no
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
C
Java
Perl
Python
R
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyesyesasynchronous Gremlin script jobs
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
Apache PhoenixGraph Engine infoformer name: TrinityGreenplumHugeGraph
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