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DBMS > Dragonfly vs. HBase vs. HugeGraph vs. InterSystems IRIS vs. NSDb

System Properties Comparison Dragonfly vs. HBase vs. HugeGraph vs. InterSystems IRIS vs. NSDb

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNSDb  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 instanceWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeWide column storeGraph DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­intersystems-irisnsdb.io
Technical documentationwww.dragonflydb.io/­docshbase.apache.org/­book.htmlhugegraph.apache.org/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsnsdb.io/­Architecture
DeveloperDragonflyDB team and community contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduInterSystems
Initial release20232008201820182017
Current release1.0, March 20232.3.4, January 20210.92023.3, June 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJava, Scala
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
AIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Data schemescheme-freeschema-free, schema definition possibleyesdepending on used data model
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysoptions to bring your own types, AVROyesyesyes: int, bigint, decimal, string
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.nononoyesno
Secondary indexesnonoyes infoalso supports composite index and range indexyesall fields are automatically indexed
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
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++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresLuayes infoCoprocessors in Javaasynchronous Gremlin script jobsyesno
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsSingle row ACID (across millions of columns)ACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlPassword-based authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsyes
More information provided by the system vendor
DragonflyHBaseHugeGraphInterSystems IRISNSDb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
DragonflyHBaseHugeGraphInterSystems IRISNSDb
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