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DBMS > AllegroGraph vs. Dragonfly vs. TimesTen

System Properties Comparison AllegroGraph vs. Dragonfly vs. TimesTen

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDragonfly  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn 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 modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.89
Rank#198  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#9  Vector DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.26
Rank#164  Overall
#76  Relational DBMS
Websiteallegrograph.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.dragonflydb.io/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperFranz Inc.DragonflyDB team and community contributorsOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200420231998
Current release8.0, December 20231.0, March 2023Release 22.1
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyes infoRDF schemasscheme-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.no infobulk load of XML files possiblenono
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol infoRESP - REdis Serialization ProtocolODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
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
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispLuaPL/SQL
Triggersyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPassword-based authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDragonflyTimesTen
News

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17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

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