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DBMS > AgensGraph vs. Dragonfly vs. GigaSpaces vs. Linter

System Properties Comparison AgensGraph vs. Dragonfly vs. GigaSpaces vs. Linter

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDragonfly  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsRDBMS for high security requirements
Primary database modelGraph DBMS
Relational DBMS
Key-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.03
Rank#368  Overall
#156  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gigaspaces.comlinter.ru
Technical documentationbitnine.net/­documentationwww.dragonflydb.io/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperBitnine Global Inc.DragonflyDB team and community contributorsGigaspaces Technologiesrelex.ru
Initial release2016202320001990
Current release2.1, December 20181.0, March 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSL 1.1Open Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java, C++, .NetC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemedepending on used data modelscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsyes
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol infoRESP - REdis Serialization ProtocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
Java
JavaScript
Python
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
.Net
C++
Java
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyesLuayesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnopublish/subscribe channels provide some trigger functionalityyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationRole-based access controlfine grained access rights according to SQL-standard

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More resources
AgensGraphDragonflyGigaSpacesLinter
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