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DBMS > Apache HugeGraph vs. Apache Phoenix vs. Geode

System Properties Comparison Apache HugeGraph vs. Apache Phoenix vs. Geode

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGeode  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelGraph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#295  Overall
#24  Graph DBMS
Score1.90
Rank#121  Overall
#59  Relational DBMS
Score1.45
Rank#148  Overall
#24  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
phoenix.apache.orggeode.apache.org
Technical documentationhugegraph.apache.org/­docsphoenix.apache.orggeode.apache.org/­docs
DeveloperBaiduApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201820142002
Current release0.95.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfire
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
macOS
Unix
Linux
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnoyesSQL-like query language (OQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBCJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsuser defined functions
Triggersnonoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights per client and object definable

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More resources
Apache HugeGraphApache PhoenixGeode
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