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DBMS > Faircom DB vs. Greenplum vs. IRONdb vs. Trino

System Properties Comparison Faircom DB vs. Greenplum vs. IRONdb vs. Trino

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonGreenplum  Xexclude from comparisonIRONdb  Xexclude from comparisonTrino  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSRelational 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#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbgreenplum.orgwww.circonus.com/solutions/time-series-database/trino.io
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.greenplum.orgdocs.circonus.com/irondb/category/getting-startedtrino.io/­broadcast
trino.io/­docs/­current
DeveloperFairCom CorporationPivotal Software Inc.Circonus LLC.Trino Software Foundation
Initial release1979200520172012 info2020 rebranded from PrestoSQL
Current releaseV13, July 20247.0.0, September 2023V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 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
LinuxLinuxLinux
macOS infofor devlopment
Data schemeschema free, schema optional, schema required, partial schema,yesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyes infotext, numeric, histogramsyes
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.noyes infosince Version 4.2nono
Secondary indexesyesyesnodepending on connected data-source
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
Java
Perl
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesyes, in Luayes, depending on connected data-source
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingAutomatic, metric affinity per nodedepending 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).Source-replica replicationconfigurable replication factor, datacenter awaredepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesdepending on connected data-source
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardnoSQL standard access control
More information provided by the system vendor
Faircom DB infoformerly c-treeACEGreenplumIRONdbTrino
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More resources
Faircom DB infoformerly c-treeACEGreenplumIRONdbTrino
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