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DBMS > Dragonfly vs. GigaSpaces vs. HugeGraph vs. Prometheus

System Properties Comparison Dragonfly vs. GigaSpaces vs. HugeGraph vs. Prometheus

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  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 instanceHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gigaspaces.comgithub.com/­hugegraph
hugegraph.apache.org
prometheus.io
Technical documentationwww.dragonflydb.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlhugegraph.apache.org/­docsprometheus.io/­docs
DeveloperDragonflyDB team and community contributorsGigaspaces TechnologiesBaidu
Initial release2023200020182015
Current release1.0, March 202315.5, September 20200.9
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
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++Java, C++, .NetJavaGo
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
Windows
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesNumeric data only
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.nono infoXML can be used for describing objects metadatanono infoImport of XML data possible
Secondary indexesnoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
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
.Net
C++
Java
Python
Scala
Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresLuayesasynchronous Gremlin script jobsno
Triggerspublish/subscribe channels provide some trigger functionalityyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistencynone
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesyesyesno
User concepts infoAccess controlPassword-based authenticationRole-based access controlUsers, roles and permissionsno

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More resources
DragonflyGigaSpacesHugeGraphPrometheus
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