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

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeTime Series DBMSSearch engineTime Series DBMS
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
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperDGraph LabsSpotifyMicrosoft
Initial release2017201420152017
Current releaseV1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes: int, bigint, decimal, string
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 indexesnoyes infovia Elasticsearchyesall fields are automatically indexed
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesGoC#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate 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 persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyes infousing Azure authentication

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More resources
BadgerHeroicMicrosoft Azure AI SearchNSDb
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