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DBMS > Dragonfly vs. Hive vs. Ingres vs. NSDb vs. OrigoDB

System Properties Comparison Dragonfly vs. Hive vs. Ingres vs. NSDb vs. OrigoDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHive  Xexclude from comparisonIngres  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  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 instancedata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph database
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hive.apache.orgwww.actian.com/­databases/­ingresnsdb.ioorigodb.com
Technical documentationwww.dragonflydb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresnsdb.io/­Architectureorigodb.com/­docs
DeveloperDragonflyDB team and community contributorsApache Software Foundation infoinitially developed by FacebookActian CorporationRobert Friberg et al
Initial release202320121974 infooriginally developed at University Berkely in early 1970s20172009 infounder the name LiveDB
Current release1.0, March 20233.1.3, April 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCJava, ScalaC#
Server operating systemsLinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
Windows
Data schemescheme-freeyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes: int, bigint, decimal, stringUser defined using .NET types and collections
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 infobut tools for importing/exporting data from/to XML-files availablenono infocan be achieved using .NET
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
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++
Java
PHP
Python
Java
Scala
.Net
Server-side scripts infoStored proceduresLuayes infouser defined functions and integration of map-reduceyesnoyes
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standardRole based authorization

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More resources
DragonflyHiveIngresNSDbOrigoDB
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