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DBMS > Faircom DB vs. MySQL vs. Trino

System Properties Comparison Faircom DB vs. MySQL vs. Trino

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonMySQL  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Widely used open source RDBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value store
Relational DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#351  Overall
#53  Key-value stores
#148  Relational DBMS
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score5.21
Rank#81  Overall
#42  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.mysql.comtrino.io
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorydev.mysql.com/­doctrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperFairCom CorporationOracle infosince 2010, originally MySQL AB, then SunTrino Software Foundation
Initial release197919952012 info2020 rebranded from PrestoSQL
Current releaseV12, November 20208.0.32, January 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
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Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageANSI C, C++C and C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infoproprietary syntaxyes, depending on connected data-source
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACID infonot for MyISAM storage enginedepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authorization concept infono user groups or rolesSQL standard access control
More information provided by the system vendor
Faircom DB infoformerly c-treeACEMySQLTrino
Specific characteristicsAchieve 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 advantagesTop 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 scenariosReal-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 customersMicrosoft, 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 metricsFrom 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 modelsJust 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

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15 March 2023

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23 February 2023

44: Seeing clearly with Metabase
26 January 2023

The rabbit reflects on Trino in 2022
10 January 2023

Cleaning up the Trino pull request backlog
9 January 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.

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More resources
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