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DBMS > Google Cloud Firestore vs. LokiJS vs. Microsoft Access vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Google Cloud Firestore vs. LokiJS vs. Microsoft Access vs. Percona Server for MongoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.In-memory JavaScript DBMSMicrosoft 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.)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeDocument storeRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationfirebase.google.com/­docs/­firestoretechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleMicrosoftPerconaApache Software Foundation
Initial release20172014199220152014
Current release1902 (16.0.11328.20222), March 20193.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++Scala
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyes infovia viewsyesyesno
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnoSQL-like DML and DDL statements
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JavaScript APIADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsView functions in JavaScriptyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersyes, with Cloud Functionsyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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.yesyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono infoa simple user-level security was built in till version Access 2003Access rights for users and rolesno

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More resources
Google Cloud FirestoreLokiJSMicrosoft AccessPercona Server for MongoDBSpark SQL
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