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DBMS > EsgynDB vs. Greenplum vs. Immudb vs. OpenQM

System Properties Comparison EsgynDB vs. Greenplum vs. Immudb vs. OpenQM

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonImmudb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Websitewww.esgyn.cngreenplum.orggithub.com/­codenotary/­immudb
immudb.io
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.greenplum.orgdocs.immudb.io
DeveloperEsgynPivotal Software Inc.CodenotaryRocket Software, originally Martin Phillips
Initial release2015200520201993
Current release7.0.0, September 20231.2.3, April 20223.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGo
Server operating systemsLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes
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 4.2noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like syntaxno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
EsgynDBGreenplumImmudbOpenQM infoalso called QM
Recent citations in the news

Chapter 1. Introducing the Greenplum Database
6 December 2018, O'Reilly Media

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
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Greenplum 6 ventures outside the analytic box
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