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DBMS > Apache Phoenix vs. NuoDB vs. StarRocks vs. Teradata Aster vs. Yanza

System Properties Comparison Apache Phoenix vs. NuoDB vs. StarRocks vs. Teradata Aster vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNuoDB  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYanza  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseNuoDB 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 DorisPlatform for big data analytics on multistructured data sources and typesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitephoenix.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.starrocks.ioyanza.com
Technical documentationphoenix.apache.orgdoc.nuodb.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationDassault Systèmes infooriginally NuoDB, Inc.The Linux Foundation infosince Feb 2023TeradataYanza
Initial release20142013202020052015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoApache Version 2.0commercialcommercial 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 languageJavaC++C++, Java
Server operating systemsLinux
Unix
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxLinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-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.nononoyes infoin Aster File Storeno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyesyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
MySQL protocol
ADO.NET
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C#
C++
Java
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsJava, SQLuser defined functionsR packagesno
Triggersnoyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range and hash)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDByes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesyes infoTemporary tablenono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyStandard SQL roles/ privileges, Administrative UsersRole based access control and fine grained access rightsfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixNuoDBStarRocksTeradata AsterYanza
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