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

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

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInfinityDB  Xexclude from comparisonLokiJS  Xexclude from comparisonOracle Coherence  Xexclude from comparisonVitess  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 solutionScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value storeDocument storeKey-value storeRelational 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.43
Rank#264  Overall
#42  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitephoenix.apache.orgboilerbay.comgithub.com/­techfort/­LokiJSwww.oracle.com/­java/­coherencevitess.io
Technical documentationphoenix.apache.orgboilerbay.com/­infinitydb/­manualtechfort.github.io/­LokiJSdocs.oracle.com/­en/­middleware/­standalone/­coherencevitess.io/­docs
DeveloperApache Software FoundationBoiler Bay Inc.OracleThe Linux Foundation, PlanetScale
Initial release20142002201420072013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.014.1, August 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourcecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJavaGo
Server operating systemsLinux
Unix
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMDocker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-freeyes
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.nononono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infovia viewsnoyes
SQL infoSupport of SQLyesnononoyes infowith proprietary extensions
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
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaJavaScript.Net
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptnoyes infoproprietary syntax
Triggersnonoyesyes infoLive Eventsyes
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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnoneEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynonoyes infonot for MyISAM storage engine
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 at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyesyesyes
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 authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache PhoenixInfinityDBLokiJSOracle CoherenceVitess
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