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DBMS > BoltDB vs. FoundationDB vs. Microsoft Azure AI Search vs. NSDb

System Properties Comparison BoltDB vs. FoundationDB vs. Microsoft Azure AI Search vs. NSDb

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn embedded key-value store for Go.Ordered key-value store. Core features are complimented by layers.Search-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 storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationapple.github.io/­foundationdblearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperFoundationDBMicrosoft
Initial release2013201320152017
Current release6.2.28, November 2020V1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen 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

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Implementation languageGoC++Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedLinux
macOS
Data schemeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyes: 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.nonono
Secondary indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLnosupported in specific SQL layer onlynoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesGo.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlynono
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 systemnoneLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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 controlnonoyes infousing Azure authentication

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More resources
BoltDBFoundationDBMicrosoft Azure AI SearchNSDb
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