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DBMS > Cachelot.io vs. Faircom DB vs. Trino vs. Vitess

System Properties Comparison Cachelot.io vs. Faircom DB vs. Trino vs. Vitess

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonTrino  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionIn-memory caching systemNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitecachelot.iowww.faircom.com/­products/­faircom-dbtrino.iovitess.io
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmltrino.io/­broadcast
trino.io/­docs/­current
vitess.io/­docs
DeveloperFairCom CorporationTrino Software FoundationThe Linux Foundation, PlanetScale
Initial release201519792012 info2020 rebranded from PrestoSQL2013
Current releaseV13, July 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ANSI C, C++JavaGo
Server operating systemsFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS infofor devlopment
Docker
Linux
macOS
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or datenoyes, 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.nonono
Secondary indexesnoyesdepending on connected data-sourceyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesyes infowith proprietary extensions
APIs and other access methodsMemcached protocolADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes, depending on connected data-sourceyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).depending on connected data-sourceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
depending on connected data-sourceEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually Consistentdepending on connected data-sourceACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentnoYes, tunable from durable to delayed durability to in-memorydepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesSQL standard access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Cachelot.ioFaircom DB infoformerly c-treeACETrinoVitess
News

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17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
Cachelot.ioFaircom DB infoformerly c-treeACETrinoVitess
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