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DBMS > Apache Phoenix vs. Greenplum vs. HBase vs. HugeGraph

System Properties Comparison Apache Phoenix vs. Greenplum vs. HBase vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic 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.Wide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSRelational DBMSWide column storeGraph 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitephoenix.apache.orggreenplum.orghbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationphoenix.apache.orgdocs.greenplum.orghbase.apache.org/­book.htmlhugegraph.apache.org/­docs
DeveloperApache Software FoundationPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetBaidu
Initial release2014200520082018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.0.0, September 20232.3.4, January 20210.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache version 2Open 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 languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.noyes infosince Version 4.2nono
Secondary indexesyesyesnoyes infoalso supports composite index and range index
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBCJDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes infoCoprocessors in Javaasynchronous Gremlin script jobs
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes 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 replicationMulti-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 methodsHadoop integrationyesyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
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.yesnoyesyes
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-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissions

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More resources
Apache PhoenixGreenplumHBaseHugeGraph
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