DBMS > Faircom EDGE vs. Firebird vs. OrientDB

System Properties Comparison Faircom EDGE vs. Firebird vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments

Firebird is an open source RDBMS forked from Borland's InterBase

Multi-model DBMS (Document, Graph, Key/Value)

Primary database model

Key-value store
Relational DBMS

Relational DBMS

Document store
Graph DBMS
Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.20
Rank	#282	Overall
	#42	Key-value stores
	#131	Relational DBMS

Score	23.71
Rank	#29	Overall
	#16	Relational DBMS

Score	4.71
Rank	#76	Overall
	#12	Document stores
	#4	Graph DBMS
	#11	Key-value stores

Website

www.faircom.com/products/faircomedge-iot-database

www.firebirdsql.org

orientdb.org

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

www.firebirdsql.org/en/reference-manuals

www.orientdb.com/docs/last/index.html

Developer

FairCom Corporation

Firebird Foundation

OrientDB LTD; CallidusCloud; SAP

Initial release

1979

2000

As fork of Borland's InterBase

2010

Current release

V3, October 2020

3.0.7 , October 2020

3.1.0, June 2020

License

Commercial or Open Source

commercial

Restricted, free version available

Open Source

Initial Developer's Public License

Open Source

Apache version 2

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

ANSI C, C++

C and C++

Java

Server operating systems

Android
Linux

ARM, x86
Raspbian
Windows

AIX
FreeBSD
HP-UX
Linux
OS X
server-less

Firebird Embedded Server
Solaris
Unix
Windows

All OS with a Java JDK (>= JDK 6)

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

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

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL queries

yes

SQL-like query language, no joins

APIs and other access methods

ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

ADO.NET
C/C++ API
JDBC

Jaybird
ODBC
OLE DB

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

C
C#
C++
Java
JavaScript
PHP
Python
VB.Net

C
C#
C++
Delphi
Java
JavaScript

Node.js
Lua
Perl
PHP
Python
Ruby

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

.Net, JavaScript, C/C++

PSQL

Java, Javascript

Triggers

yes

Hooks

Partitioning methods

Methods for storing different data on different nodes

File partitioning

Customizable business rules for partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous and asynchronous realtime replication based on transaction logs

none

available via 3rd party products

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency

Foreign keys

Referential integrity

yes

when using SQL

yes

relationship in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

across SQL and NoSQL

yes

Features a multi-generational MVCC architecture, readers do not block writers

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

Users with fine-grained authorization concept

Access rights for users and roles; record level security configurable

More information provided by the system vendor

Specific characteristics

FairCom EDGE provides the power of a full-featured database that is designed specifically...
» more

Competitive advantages

Top Features JSON Multimodel SQL and NoSQL APIs Automatic database tuning Custom...
» more

Typical application scenarios

FairCom EDGE can be deployed at or near the data collection point (sensors) and used...
» more

Key customers

UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell Automation,...
» more

Market metrics

From banking and financial transactions, transportation, warehouse automation, package...
» more

Licensing and pricing models

Just as the technical aspects of FairCom EDGE are flexible to meet operation requirements,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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