DBMS > Faircom DB vs. Faircom EDGE vs. Redis

System Properties Comparison Faircom DB vs. Faircom EDGE vs. Redis

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Editorial information provided by DB-Engines

Name

Description

Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.

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

In-memory data structure store, used as database, cache and message broker

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Key-value store
Relational DBMS

Key-value store

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

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

Score	0.45
Rank	#237	Overall
	#38	Key-value stores
	#112	Relational DBMS

Score	0.22
Rank	#274	Overall
	#41	Key-value stores
	#127	Relational DBMS

Score	155.01
Rank	#7	Overall
	#1	Key-value stores

Website

www.faircom.com/products/faircom-db

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

redis.io

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

redis.io/documentation

Developer

FairCom Corporation

Salvatore Sanfilippo

Development sponsored by Redis Labs

Initial release

1979

2009

Current release

V12, November 2020

V3, October 2020

6.0.10 , January 2021

License

Commercial or Open Source

commercial

Restricted, free version available

commercial

Restricted, free version available

Open Source

BSD 3-Clause, commercial license available

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.

Redis Enterprise Cloud: Fully managed cloud service by the makers of Redis.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

ANSI C, C++

Server operating systems

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows

easily portable to other OSs

Android
Linux

ARM, x86
Raspbian
Windows

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema free, schema optional, schema required, partial schema,

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

schema-free

Typing

predefined data types such as float or date

yes, ANSI SQL Types, JSON, typed binary structures

yes, ANSI Standard SQL Types

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

with RediSearch module

SQL

Support of SQL

yes, ANSI SQL with proprietary extensions

yes

ANSI SQL queries

APIs and other access methods

ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC

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

proprietary protocol

RESP - REdis Serialization Protocol

Supported programming languages

.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic

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

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts

Stored procedures

yes

.Net, JavaScript, C/C++

yes

.Net, JavaScript, C/C++

Lua

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

File partitioning, horizontal partitioning, sharding

Customizable business rules for table partitioning

File partitioning

Customizable business rules for partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).

yes

Synchronous and asynchronous realtime replication based on transaction logs

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction

Immediate Consistency
Tunable Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys

Referential integrity

yes

when using SQL

Transaction concepts

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

tunable from ACID to Eventually Consistent

ACID

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency

Support for concurrent manipulation of data

yes

across SQL and NoSQL

yes

Data access is serialized by the server

Durability

Support for making data persistent

Yes, tunable from durable to delayed durability to in-memory

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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 access rights according to SQL-standard with additional protections for files

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

Simple password-based access control

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

Achieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more

FairCom EDGE provides the power of a full-featured database that is designed specifically...
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Redis, benchmarked as the world's fastest database, reduces application complexity,...
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Competitive advantages

Top Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
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Top Features JSON Multimodel SQL and NoSQL APIs Automatic database tuning Custom...
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Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

Real-time transaction processing solutions leverage FairCom DB because its NoSQL...
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FairCom EDGE can be deployed at or near the data collection point (sensors) and used...
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Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more

Key customers

Microsoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
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UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell Automation,...
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Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more

Market metrics

From banking and financial transactions, transportation, warehouse automation, package...
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Licensing and pricing models

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

The licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more