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DBMS > Apache Phoenix vs. JanusGraph vs. OrientDB vs. Teradata Aster

System Properties Comparison Apache Phoenix vs. JanusGraph vs. OrientDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOrientDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Multi-model DBMS (Document, Graph, Key/Value)Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitephoenix.apache.orgjanusgraph.orgorientdb.org
Technical documentationphoenix.apache.orgdocs.janusgraph.orgwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationLinux Foundation; originally developed as Titan by AureliusOrientDB LTD; CallidusCloud; SAPTeradata
Initial release2014201720102005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, October 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache version 2commercial
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
Linux
OS X
Unix
Windows
All OS with a Java JDK (>= JDK 6)Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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 infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language, no joinsyes
APIs and other access methodsJDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesJava, JavascriptR packages
TriggersnoyesHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infovia Faunus, a graph analytics engineno infocould be achieved with distributed queriesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUser authentification and security via Rexster Graph ServerAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
Apache PhoenixJanusGraph infosuccessor of TitanOrientDBTeradata Aster
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