DBMS > Faircom EDGE vs. FatDB vs. Google Cloud Firestore vs. Oracle Coherence

System Properties Comparison Faircom EDGE vs. FatDB vs. Google Cloud Firestore vs. Oracle Coherence

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Editorial information provided by DB-Engines
Name	Faircom EDGE formerly c-treeEDGE  Xexclude from comparison	FatDB  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	Oracle Coherence  Xexclude from comparison
		FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
Description	FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	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.	Oracles in-memory data grid solution
Primary database model	Key-value store Relational DBMS	Document store Key-value store	Document store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.05 Rank #334   Overall #50   Key-value stores #149   Relational DBMS		Score 9.09 Rank #53   Overall #10   Document stores	Score 2.46 Rank #116   Overall #21   Key-value stores
Website	www.faircom.com/­products/­faircomedge-iot-database		firebase.google.com/­products/­firestore	www.oracle.com/­middleware/­technologies/­coherence.html
Technical documentation	learn.faircomcorp.com/­developers/­documentation_directory		firebase.google.com/­docs/­firestore	docs.oracle.com/­en/­middleware/­standalone/­coherence
Developer	FairCom Corporation	FatCloud	Google	Oracle
Initial release	1979	2012	2017	2007
Current release	V3, October 2020			12c, September 2016
License Commercial or Open Source	commercial Restricted, free version available	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	ANSI C, C++	C#		Java
Server operating systems	Android Linux ARM, x86 Raspbian Windows	Windows	hosted	All OS with a Java VM
Data scheme	Flexible Schema (defined schema, partial schema, schema free)	schema-free	schema-free	schema-free
Typing predefined data types such as float or date	yes, ANSI Standard SQL Types	yes	yes	yes
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.	yes		no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	yes ANSI SQL queries	no Via inetgration in SQL Server	no	no
APIs and other access methods	ADO.NET Direct SQL IoT Microservice layer JDBC MQTT (Message Queue Telemetry Transport) ODBC RESTful HTTP API	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	JCache JPA RESTful HTTP API
Supported programming languages	C C# C++ Java JavaScript PHP Python VB.Net	C#	Go Java JavaScript JavaScript (Node.js) Objective-C Python	.Net C++ Java
Server-side scripts Stored procedures	yes .Net, JavaScript, C/C++	yes via applications	yes, Firebase Rules & Cloud Functions	no
Triggers	yes	yes via applications	yes, with Cloud Functions	yes Live Events
Partitioning methods Methods for storing different data on different nodes	File partitioning Customizable business rules for partitioning	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes Synchronous and asynchronous realtime replication based on transaction logs	selectable replication factor	Multi-source replication	yes, with selectable consistency level
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	Using Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency Tunable Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes when using SQL	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	yes	configurable
Concurrency Support for concurrent manipulation of data	yes across SQL and NoSQL	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes optionally
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			yes
User concepts Access control	Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.	no Can implement custom security layer via applications	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.	authentification to access the cache via certificates or http basic authentication
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More resources
	Faircom EDGE formerly c-treeEDGE	FatDB	Google Cloud Firestore	Oracle Coherence
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