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

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

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Editorial information provided by DB-Engines
NameDragonfly  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.
DescriptionA 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 modelKey-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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.teradata.comyanza.com
Technical documentationwww.dragonflydb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperDragonflyDB team and community contributorsOpenSource, formerly Basho TechnologiesTeradataYanza
Initial release2023200919842015
Current release1.0, March 20233.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache version 2, commercial enterprise editioncommercialcommercial 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 languageC++Erlang
Server operating systemsLinuxLinux
OS X
hosted
Linux
Windows
Data schemescheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datestrings, 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 indexesnorestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
HTTP API
Supported programming languagesC
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 proceduresLuaErlangyes infoUDFs, stored procedures, table functions in parallelno
Triggerspublish/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 nodesSharding infono "single point of failure"Sharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesyes
User concepts infoAccess controlPassword-based authenticationyes, using Riak Securityfine grained access rights according to SQL-standardno

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More resources
DragonflyRiak KVTeradataYanza
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