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DBMS > BoltDB vs. Drizzle vs. Firebase Realtime Database vs. Microsoft Azure AI Search

System Properties Comparison BoltDB vs. Drizzle vs. Firebase Realtime Database vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Search-as-a-service for web and mobile app development
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
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
Score14.29
Rank#39  Overall
#6  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitegithub.com/­boltdb/­boltfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­search
Technical documentationfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­search
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014Microsoft
Initial release2013200820122015
Current release7.2.4, September 2012V1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
hostedhosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGoC
C++
Java
PHP
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'no
Triggersnono infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
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 systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesyes infousing Azure authentication

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BoltDBDrizzleFirebase Realtime DatabaseMicrosoft Azure AI Search
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