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DBMS > etcd vs. Hive vs. Infobright vs. KeyDB

System Properties Comparison etcd vs. Hive vs. Infobright vs. KeyDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHive  Xexclude from comparisonInfobright  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionA distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
hive.apache.orgignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homedocs.keydb.dev
DeveloperApache Software Foundation infoinitially developed by FacebookIgnite Technologies Inc.; formerly InfoBright Inc.EQ Alpha Technology Ltd.
Initial release201220052019
Current release3.4, August 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSD-3
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 languageGoJavaCC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonono
Secondary indexesnoyesno infoKnowledge Grid Technology used insteadyes infoby using the Redis Search module
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoLua
Triggersyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiessimple password-based access control and ACL

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More resources
etcdHiveInfobrightKeyDB
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