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DBMS > AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Warp 10

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Warp 10

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionJavaScript DBMS libraryCloud-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 developmentWidely used in-process key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Document storeSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleSenX
Initial release20142012201519942015
Current releaseV118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infocommercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nononoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
C#
Java
JavaScript
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nonoyes infoWarpScript
TriggersyesCallbacks are triggered when data changesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesyes infousing Azure authenticationnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AlaSQLFirebase Realtime DatabaseMicrosoft Azure AI SearchOracle Berkeley DBWarp 10
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