DBMS > Faircom DB vs. SwayDB vs. Trino

System Properties Comparison Faircom DB vs. SwayDB vs. Trino

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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.

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Key-value store
Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	0.24
Rank	#366	Overall
	#56	Key-value stores
	#153	Relational DBMS

Score	0.00
Rank	#397	Overall
	#65	Key-value stores

Score	5.89
Rank	#73	Overall
	#39	Relational DBMS

Website

www.faircom.com/products/faircom-db

swaydb.io

trino.io

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

trino.io/broadcast
trino.io/docs/current

Social network pages

Developer

FairCom Corporation

Simer Plaha

Trino Software Foundation

Initial release

1979

2018

2012

2020 rebranded from PrestoSQL

Current release

V12, November 2020

License

Commercial or Open Source

commercial

Restricted, free version available

Open Source

GNU Affero GPL V3.0

Open Source

Apache Version 2.0

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.

Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.

Implementation language

ANSI C, C++

Scala

Java

Server operating systems

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

easily portable to other OSs

Linux
macOS

for devlopment

Data scheme

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

schema-free

yes

Typing

predefined data types such as float or date

yes, ANSI SQL Types, JSON, typed binary structures

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.

Secondary indexes

yes

depending on connected data-source

SQL

Support of SQL

yes, ANSI SQL with proprietary extensions

yes

APIs and other access methods

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

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

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

Java
Kotlin
Scala

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

yes

.Net, JavaScript, C/C++

yes, depending on connected data-source

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

File partitioning, horizontal partitioning, sharding

Customizable business rules for table partitioning

none

depending on connected data-source

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).

none

depending on connected data-source

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

depending on connected data-source

Foreign keys

Referential integrity

yes

Transaction concepts

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

tunable from ACID to Eventually Consistent

Atomic execution of operations

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

yes

depending on connected data-source

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

SQL standard access control

More information provided by the system vendor

Specific characteristics

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

Trino is the fastest open source, massively parallel processing SQL query engine...
» more

Competitive advantages

Top Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more

High performance analtyics and data processing of very large data sets Powerful ANSI...
» more

Typical application scenarios

Real-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more

Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more

Key customers

Microsoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more

Trino is widely adopted across the globe as freely-available open source software....
» more

Market metrics

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

28250+ commits in GitHub 5750+ stargazers in GitHub 6950+ pull requests merged in...
» more

Licensing and pricing models

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

Trino is an open source project and usage is therefore free. Commercial offerings...
» more

News

Trino at Open Source Summit North America 2023
15 May 2023

47: Meet the new Trino maintainers
5 May 2023

Refreshing at the lakehouse summer camp
3 May 2023

Just the right time date predicates with Iceberg
11 April 2023

Polish edition of Trino: The Definitive Guide
6 April 2023

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.

Related products and services

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More resources

Recent citations in the news

FairCom kicks off new era of database technology USA - English
10 November 2020, PR Newswire

c-treeAMS: Replication - FairCom
28 May 2023, faircom.com

FairCom DB Download Registration - FairCom
1 November 2022, faircom.com

FairCom MQ | Robust MQTT Broker | Embedded Database
20 April 2023, faircom.com

c-treeRTG
13 May 2023, docs.faircom.com

provided by Google News

Starburst accelerates Trino to 'Warp Speed' to accelerate data ...
8 February 2023, VentureBeat

Starburst adds a data catalog, high-speed indexing and Python ...
8 February 2023, SiliconANGLE News

Starburst's CEO Decries Big Data Lies; Touts Data Truths
13 February 2023, The New Stack

Trino and dbt open source data tools snuggle closer with integrated SaaS
28 April 2023, The Register

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

provided by Google News

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