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

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

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparisonTimesTen  Xexclude from comparison
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)An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational 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
Score0.44
Rank#255  Overall
#38  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.teradata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.dragonflydb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDragonflyDB team and community contributorsOpenSource, formerly Basho TechnologiesTeradataOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2023200919841998
Current release1.0, March 20233.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019Release 22.1
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Erlang
Server operating systemsLinuxLinux
OS X
hosted
Linux
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnoyesyes
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 indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsyes
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
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
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
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresLuaErlangyes infoUDFs, stored procedures, table functions in parallelPL/SQL
Triggerspublish/subscribe channels provide some trigger functionalityyes infopre-commit hooks and post-commit hooksyesno
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlPassword-based authenticationyes, using Riak Securityfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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DragonflyRiak KVTeradataTimesTen
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