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DBMS > Google Cloud Firestore vs. Manticore Search vs. Microsoft Access vs. SQL.JS

System Properties Comparison Google Cloud Firestore vs. Manticore Search vs. Microsoft Access vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSQL.JS  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.Multi-storage database for search, including full-text search.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.)Port of SQLite to JavaScript
Primary database modelDocument storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitefirebase.google.com/­products/­firestoremanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesssql.js.org
Technical documentationfirebase.google.com/­docs/­firestoremanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accesssql.js.org/­documentation/­index.html
DeveloperGoogleManticore SoftwareMicrosoftAlon Zakai infoenhancements implemented by others
Initial release2017201719922012
Current release6.0, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScript
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardyes infoSQL-92 is not fully supported
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
JavaScript API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersyes, with Cloud Functionsnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 2003no

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More resources
Google Cloud FirestoreManticore SearchMicrosoft AccessSQL.JS
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