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DBMS > Apache Phoenix vs. InfinityDB vs. LokiJS vs. Oracle Coherence vs. OrientDB

System Properties Comparison Apache Phoenix vs. InfinityDB vs. LokiJS vs. Oracle Coherence vs. OrientDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInfinityDB  Xexclude from comparisonLokiJS  Xexclude from comparisonOracle Coherence  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA Java embedded Key-Value Store which extends the Java Map interfaceIn-memory JavaScript DBMSOracles in-memory data grid solutionMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value storeDocument storeKey-value storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.43
Rank#264  Overall
#42  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitephoenix.apache.orgboilerbay.comgithub.com/­techfort/­LokiJSwww.oracle.com/­java/­coherenceorientdb.org
Technical documentationphoenix.apache.orgboilerbay.com/­infinitydb/­manualtechfort.github.io/­LokiJSdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationBoiler Bay Inc.OracleOrientDB LTD; CallidusCloud; SAP
Initial release20142002201420072010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.014.1, August 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourcecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJavaJava
Server operating systemsLinux
Unix
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMAll OS with a Java JDK (>= JDK 6)
Data schemeyes infolate-bound, schema-on-read capabilitiesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyesyes
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.nonononono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infovia viewsnoyes
SQL infoSupport of SQLyesnononoSQL-like query language, no joins
APIs and other access methodsJDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JavaScript APIJCache
JPA
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaJavaScript.Net
C++
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptnoJava, Javascript
Triggersnonoyesyes infoLive EventsHooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenoneyes, with selectable consistency levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno infoatomic operations within a single collection possibleconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infooptionallyyes
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-tenancynonoauthentification to access the cache via certificates or http basic authenticationAccess rights for users and roles; record level security configurable

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More resources
Apache PhoenixInfinityDBLokiJSOracle CoherenceOrientDB
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