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DBMS > AgensGraph vs. Dragonfly vs. Ehcache vs. Quasardb

System Properties Comparison AgensGraph vs. Dragonfly vs. Ehcache vs. Quasardb

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDragonfly  Xexclude from comparisonEhcache  Xexclude from comparisonQuasardb  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 instanceA widely adopted Java cache with tiered storage optionsDistributed, high-performance timeseries database
Primary database modelGraph DBMS
Relational DBMS
Key-value storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebitnine.net/­agensgraphgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ehcache.orgquasar.ai
Technical documentationbitnine.net/­documentationwww.dragonflydb.io/­docswww.ehcache.org/­documentationdoc.quasar.ai/­master
DeveloperBitnine Global Inc.DragonflyDB team and community contributorsTerracotta Inc, owned by Software AGquasardb
Initial release2016202320092009
Current release2.1, December 20181.0, March 20233.10.0, March 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageCC++JavaC++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemedepending on used data modelscheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes infointeger and binary
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.nononono
Secondary indexesyesnonoyes infowith tags
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol infoRESP - REdis Serialization ProtocolJCacheHTTP API
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
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesLuanono
Triggersnopublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoby using Terracotta ServerSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoby using Terracotta ServerSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationnoCryptographically strong user authentication and audit trail

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More resources
AgensGraphDragonflyEhcacheQuasardb
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