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DBMS > Apache Phoenix vs. Hazelcast vs. NuoDB vs. StarRocks vs. Yanza

System Properties Comparison Apache Phoenix vs. Hazelcast vs. NuoDB vs. StarRocks vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparisonStarRocks  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitephoenix.apache.orghazelcast.comwww.3ds.com/­nuodb-distributed-sql-databasewww.starrocks.ioyanza.com
Technical documentationphoenix.apache.orghazelcast.org/­imdg/­docsdoc.nuodb.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationHazelcastDassault Systèmes infooriginally NuoDB, Inc.The Linux Foundation infosince Feb 2023Yanza
Initial release20142008201320202015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.3.6, November 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infolimited edition freeOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++, Java
Server operating systemsLinux
Unix
Windows
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infothe object must implement a serialization strategynonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageyesyesno
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
MySQL protocol
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor ServicesJava, SQLuser defined functionsno
Triggersnoyes infoEventsyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated Mapyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocolnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary tableno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlStandard SQL roles/ privileges, Administrative UsersRole based access control and fine grained access rightsno

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More resources
Apache PhoenixHazelcastNuoDBStarRocksYanza
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