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DBMS > Dragonfly vs. FatDB vs. Teradata vs. VoltDB

System Properties Comparison Dragonfly vs. FatDB vs. Teradata vs. VoltDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFatDB  Xexclude from comparisonTeradata  Xexclude from comparisonVoltDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA .NET NoSQL DBMS that can integrate with and extend SQL Server.A hybrid cloud data analytics software platform (Teradata Vantage)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeDocument store
Key-value store
Relational 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.teradata.comwww.voltdb.com
Technical documentationwww.dragonflydb.io/­docsdocs.teradata.comdocs.voltdb.com
DeveloperDragonflyDB team and community contributorsFatCloudTeradataVoltDB Inc.
Initial release2023201219842010
Current release1.0, March 2023Teradata Vantage 1.0 MU2, January 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Java, C++
Server operating systemsLinuxWindowshosted
Linux
Linux
OS X infofor development
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.noyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infoSQL 2016 + extensionsyes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON 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#C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresLuayes infovia applicationsyes infoUDFs, stored procedures, table functions in parallelJava
Triggerspublish/subscribe channels provide some trigger functionalityyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
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 Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
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 authenticationno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
DragonflyFatDBTeradataVoltDB
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