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DBMS > Apache Phoenix vs. EventStoreDB vs. Ingres vs. Kinetica vs. Yanza

System Properties Comparison Apache Phoenix vs. EventStoreDB vs. Ingres vs. Kinetica vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEventStoreDB  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  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 HBaseIndustrial-strength, open-source database solution built from the ground up for event sourcing.Well established RDBMSFully vectorized database across both GPUs and CPUsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSEvent StoreRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitephoenix.apache.orgwww.eventstore.comwww.actian.com/­databases/­ingreswww.kinetica.comyanza.com
Technical documentationphoenix.apache.orgdevelopers.eventstore.comdocs.actian.com/­ingresdocs.kinetica.com
DeveloperApache Software FoundationEvent Store LimitedActian CorporationKineticaYanza
Initial release201420121974 infooriginally developed at University Berkely in early 1970s20122015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201921.2, February 202111.2, May 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercialcommercialcommercial 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 languageJavaCC, C++
Server operating systemsLinux
Unix
Windows
Linux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres ReplicatorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
Apache PhoenixEventStoreDBIngresKineticaYanza
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