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DBMS > Apache Phoenix vs. KeyDB vs. PostgreSQL vs. SWC-DB vs. Yanza

System Properties Comparison Apache Phoenix vs. KeyDB vs. PostgreSQL vs. SWC-DB vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonKeyDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 HBaseAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Wide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitephoenix.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.postgresql.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationphoenix.apache.orgdocs.keydb.devwww.postgresql.org/­docs
DeveloperApache Software FoundationEQ Alpha Technology Ltd.PostgreSQL Global Development Group infowww.postgresql.org/­developerAlex KashirinYanza
Initial release201420191989 info1989: Postgres, 1996: PostgreSQL20202015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201916.3, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD-3Open Source infoBSDOpen Source infoGPL V3commercial 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

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Implementation languageJavaC++CC++
Server operating systemsLinux
Unix
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsSQL-like query languageno
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
HTTP 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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnonoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple password-based access control and ACLfine grained access rights according to SQL-standardno

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