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DBMS > Badger vs. NSDb vs. OrigoDB vs. YDB

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeTime Series DBMSDocument store
Object oriented DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegithub.com/­dgraph-io/­badgernsdb.ioorigodb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgernsdb.io/­Architectureorigodb.com/­docsydb.tech/­en/­docs
DeveloperDGraph LabsRobert Friberg et alYandex
Initial release201720172009 infounder the name LiveDB2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ScalaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Windows
Linux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (YQL)
APIs and other access methodsgRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGoJava
Scala
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole based authorizationAccess rights defined for Yandex Cloud users

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More resources
BadgerNSDbOrigoDBYDB
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