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DBMS > Hive vs. InterSystems IRIS vs. KeyDB vs. YottaDB

System Properties Comparison Hive vs. InterSystems IRIS vs. KeyDB vs. YottaDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKeyDB  Xexclude from comparisonYottaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitehive.apache.orgwww.intersystems.com/­products/­intersystems-irisgithub.com/­Snapchat/­KeyDB
keydb.dev
yottadb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.keydb.devyottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookInterSystemsEQ Alpha Technology Ltd.YottaDB, LLC
Initial release2012201820192001
Current release3.1.3, April 20222023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD-3Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
LinuxDocker
Linux
Data schemeyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.yesnono
Secondary indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesLua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyessimple password-based access control and ACLUsers and groups based on OS-security mechanisms
More information provided by the system vendor
HiveInterSystems IRISKeyDBYottaDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
HiveInterSystems IRISKeyDBYottaDB
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