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DBMS > Apache Phoenix vs. Ingres vs. KeyDB vs. Yanza

System Properties Comparison Apache Phoenix vs. Ingres vs. KeyDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIngres  Xexclude from comparisonKeyDB  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 HBaseWell established RDBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Websitephoenix.apache.orgwww.actian.com/­databases/­ingresgithub.com/­Snapchat/­KeyDB
keydb.dev
yanza.com
Technical documentationphoenix.apache.orgdocs.actian.com/­ingresdocs.keydb.dev
DeveloperApache Software FoundationActian CorporationEQ Alpha Technology Ltd.Yanza
Initial release20141974 infooriginally developed at University Berkely in early 1970s20192015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201912.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD-3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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++
Server operating systemsLinux
Unix
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesLuano
Triggersnoyesnoyes 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 ReplicatorMulti-source replication
Source-replica replication
none
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
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-standardsimple password-based access control and ACLno

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More resources
Apache PhoenixIngresKeyDBYanza
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