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DBMS > Faircom DB vs. Greenplum vs. Immudb vs. Ingres vs. Trafodion

System Properties Comparison Faircom DB vs. Greenplum vs. Immudb vs. Ingres vs. Trafodion

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonGreenplum  Xexclude from comparisonImmudb  Xexclude from comparisonIngres  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. 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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Well established RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbgreenplum.orggithub.com/­codenotary/­immudb
immudb.io
www.actian.com/­databases/­ingrestrafodion.apache.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.greenplum.orgdocs.immudb.iodocs.actian.com/­ingrestrafodion.apache.org/­documentation.html
DeveloperFairCom CorporationPivotal Software Inc.CodenotaryActian CorporationApache Software Foundation, originally developed by HP
Initial release1979200520201974 infooriginally developed at University Berkely in early 1970s2014
Current releaseV12, November 20207.0.0, September 20231.2.3, April 202211.2, May 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++GoCC++, Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema free, schema optional, schema required, partial schema,yesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesSQL-like syntaxyesyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
Java
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnoyesJava Stored Procedures
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
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 replicationIngres Replicatoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEGreenplumImmudbIngresTrafodion
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