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DBMS > Badger vs. KeyDB vs. Sadas Engine vs. SiriDB vs. SQLite

System Properties Comparison Badger vs. KeyDB vs. Sadas Engine vs. SiriDB vs. SQLite

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKeyDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSWidely used embeddable, in-process RDBMS
Primary database modelKey-value storeKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­Snapchat/­KeyDB
keydb.dev
www.sadasengine.comsiridb.comwww.sqlite.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.keydb.devwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comwww.sqlite.org/­docs.html
DeveloperDGraph LabsEQ Alpha Technology Ltd.SADAS s.r.l.CesbitDwayne Richard Hipp
Initial release20172019200620172000
Current release8.03.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3commercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++CC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
Linux
Windows
Linuxserver-less
Data schemeschema-freeschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or datenopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes infoNumeric datayes infonot rigid because of 'dynamic typing' concept.
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.nonononono
Secondary indexesnoyes infoby using the Redis Search moduleyesyesyes
SQL infoSupport of SQLnonoyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
Proprietary protocol
HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGoC
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoLuanonono
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlnosimple password-based access control and ACLAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsno

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More resources
BadgerKeyDBSadas EngineSiriDBSQLite
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