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DBMS > AlaSQL vs. Firebase Realtime Database vs. Microsoft Access vs. RavenDB vs. WakandaDB

System Properties Comparison AlaSQL vs. Firebase Realtime Database vs. Microsoft Access vs. RavenDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonWakandaDB  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSDocument storeObject oriented DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasedeveloper.microsoft.com/­en-us/­accessravendb.net/­docswakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014MicrosoftHibernating RhinosWakanda SAS
Initial release20142012199220102012
Current release1902 (16.0.11328.20222), March 20195.4, July 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C#C++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infobut not compliant to any SQL standardSQL-like query language (RQL)no
APIs and other access methodsJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infosince Access 2010 using the ACE-engineyesyes
TriggersyesCallbacks are triggered when data changesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACID infobut no files for transaction loggingACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoyes, based on authentication and database rulesno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databaseyes

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More resources
AlaSQLFirebase Realtime DatabaseMicrosoft AccessRavenDBWakandaDB
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