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DBMS > Apache Phoenix vs. EJDB vs. Oracle NoSQL vs. Vitess

System Properties Comparison Apache Phoenix vs. EJDB vs. Oracle NoSQL vs. Vitess

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEJDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitephoenix.apache.orggithub.com/­Softmotions/­ejdbwww.oracle.com/­database/­nosql/­technologies/­nosqlvitess.io
Technical documentationphoenix.apache.orggithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlvitess.io/­docs
DeveloperApache Software FoundationSoftmotionsOracleThe Linux Foundation, PlanetScale
Initial release2014201220112013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201924.1, May 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaGo
Server operating systemsLinux
Unix
Windows
server-lessLinux
Solaris SPARC/x86
Docker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idoptionalyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJDBCin-process shared libraryRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
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 functionsnonoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)ACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infotable locks or row locks depending on storage engine
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.yesyes infooff heap cacheyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache PhoenixEJDBOracle NoSQLVitess
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