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

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolt  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.A MySQL compatible DBMS with Git-like versioning of data and schemaSearch-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 storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsDocument storeVector DBMS
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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolthub.comlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperDGraph LabsDoltHub IncMicrosoft
Initial release2017201820152017
Current releaseV1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 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 languageGoGoJava, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
hostedLinux
macOS
Data schemeschema-freeyesyes
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 indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsCLI Client
HTTP REST
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesGoAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releasenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceSharding
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.yes 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 systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.nono
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupyes infousing Azure authentication

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More resources
BadgerDoltMicrosoft Azure AI SearchNSDb
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