DBMS > AgensGraph vs. Google Cloud Firestore vs. OrigoDB

System Properties Comparison AgensGraph vs. Google Cloud Firestore vs. OrigoDB

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Editorial information provided by DB-Engines
Name	AgensGraph  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	OrigoDB  Xexclude from comparison
Description	Multi-model database supporting relational and graph data models and built upon PostgreSQL	Cloud 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 fully ACID in-memory object graph database
Primary database model	Graph DBMS Relational DBMS	Document store	Document store Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.09 Rank #320   Overall #31   Graph DBMS #145   Relational DBMS	Score 9.25 Rank #52   Overall #10   Document stores	Score 0.00 Rank #363   Overall #49   Document stores #20   Object oriented DBMS
Website	bitnine.net	firebase.google.com/­products/­firestore	origodb.com
Technical documentation	bitnine.net/­documentation	firebase.google.com/­docs/­firestore	origodb.com/­docs
Developer	Bitnine Global Inc.	Google	Robert Friberg et al
Initial release	2016	2017	2009 under the name LiveDB
Current release	2.1, December 2018
License Commercial or Open Source	Open Source Apache License 2.0	commercial	Open Source
Cloud-based only Only available as a cloud service	no	yes	no
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Implementation language	C		C#
Server operating systems	Linux OS X Windows	hosted	Linux Windows
Data scheme	depending on used data model	schema-free	yes
Typing predefined data types such as float or date	yes	yes	User defined using .NET types and collections
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no can be achieved using .NET
Secondary indexes	yes	yes	yes
SQL Support of SQL	yes	no	no
APIs and other access methods	Cypher Query Language JDBC	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	C Java JavaScript Python	Go Java JavaScript JavaScript (Node.js) Objective-C Python	.Net
Server-side scripts Stored procedures	yes	yes, Firebase Rules & Cloud Functions	yes
Triggers	no	yes, with Cloud Functions	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	no, but can be realized using table inheritance	Sharding	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Multi-source replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	Using Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		yes
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.	Role based authorization
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More resources
	AgensGraph	Google Cloud Firestore	OrigoDB
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