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DBMS > Badger vs. Dolt vs. NSDb vs. OrigoDB

System Properties Comparison Badger vs. Dolt vs. NSDb vs. OrigoDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolt  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A MySQL compatible DBMS with Git-like versioning of data and schemaScalable, 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 DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­dolthub/­dolt
www.dolthub.com
nsdb.ioorigodb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolthub.comnsdb.io/­Architectureorigodb.com/­docs
DeveloperDGraph LabsDoltHub IncRobert Friberg et al
Initial release2017201820172009 infounder the name LiveDB
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source
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 languageGoGoJava, ScalaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes: 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.nononono infocan be achieved using .NET
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsCLI Client
HTTP REST
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesGoAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Scala
.Net
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releasenoyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupRole based authorization

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More resources
BadgerDoltNSDbOrigoDB
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