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DBMS > BaseX vs. Dragonfly vs. Riak KV vs. Teradata vs. Yanza

System Properties Comparison BaseX vs. Dragonfly vs. Riak KV vs. Teradata vs. Yanza

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDragonfly  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)Time Series DBMS for IoT Applications
Primary database modelNative XML DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitebasex.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.teradata.comyanza.com
Technical documentationdocs.basex.orgwww.dragonflydb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperBaseX GmbHDragonflyDB team and community contributorsOpenSource, formerly Basho TechnologiesTeradataYanza
Initial release20072023200919842015
Current release10.7, August 20231.0, March 20233.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoBSL 1.1Open Source infoApache version 2, commercial enterprise editioncommercialcommercial 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++Erlang
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
hosted
Linux
Windows
Data schemeschema-freescheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesstrings, hashes, lists, sets, sorted sets, bit arraysnoyesno
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.nonoyesno
Secondary indexesyesnorestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensionsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
HTTP API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesLuaErlangyes infoUDFs, stored procedures, table functions in parallelno
Triggersyes infovia eventspublish/subscribe channels provide some trigger functionalityyes infopre-commit hooks and post-commit hooksyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerAtomic execution of command blocks and scriptsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsPassword-based authenticationyes, using Riak Securityfine grained access rights according to SQL-standardno

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More resources
BaseXDragonflyRiak KVTeradataYanza
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