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DBMS > Badger vs. Microsoft Azure AI Search vs. NSDb vs. TerarkDB

System Properties Comparison Badger vs. Microsoft Azure AI Search vs. NSDb vs. TerarkDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Search-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeSearch engineTime Series DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­en-us/­services/­searchnsdb.iogithub.com/­bytedance/­terarkdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDGraph LabsMicrosoftByteDance, originally Terark
Initial release2017201520172016
Current releaseV1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringno
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
Secondary indexesnoyesall fields are automatically indexedno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
C++ API
Java API
Supported programming languagesGoC#
Java
JavaScript
Python
Java
Scala
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoyes infousing Azure authenticationno

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More resources
BadgerMicrosoft Azure AI SearchNSDbTerarkDB
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