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DBMS > AgensGraph vs. Bangdb vs. Google Cloud Firestore vs. mSQL

System Properties Comparison AgensGraph vs. Bangdb vs. Google Cloud Firestore vs. mSQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphCloud 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.mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitebitnine.net/­agensgraphbangdb.comfirebase.google.com/­products/­firestorehughestech.com.au/­products/­msql
Technical documentationbitnine.net/­documentationdocs.bangdb.comfirebase.google.com/­docs/­firestore
DeveloperBitnine Global Inc.Sachin Sinha, BangDBGoogleHughes Technologies
Initial release2016201220171994
Current release2.1, December 2018BangDB 2.0, October 20214.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3commercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C
Server operating systemsLinux
OS X
Windows
LinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsno
Triggersnoyes, Notifications (with Streaming only)yes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesno
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
AgensGraphBangdbGoogle Cloud FirestoremSQL infoMini SQL
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