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DBMS > Google Cloud Firestore vs. JanusGraph vs. Manticore Search vs. Microsoft Access

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Multi-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.)
Primary database modelDocument storeGraph DBMSSearch engineRelational 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
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitefirebase.google.com/­products/­firestorejanusgraph.orgmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.orgmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­access
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusManticore SoftwareMicrosoft
Initial release2017201720171992
Current release0.6.3, February 20236.0, February 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languageyes infobut not compliant to any SQL standard
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functionsyes infosince Access 2010 using the ACE-engine
Triggersyes, with Cloud Functionsyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction logging
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.User authentification and security via Rexster Graph Servernono infoa simple user-level security was built in till version Access 2003

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More resources
Google Cloud FirestoreJanusGraph infosuccessor of TitanManticore SearchMicrosoft Access
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