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DBMS > Drizzle vs. Greenplum vs. Infobright vs. STSdb

System Properties Comparison Drizzle vs. Greenplum vs. Infobright vs. STSdb

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGreenplum  Xexclude from comparisonInfobright  Xexclude from comparisonSTSdb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegreenplum.orgignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.greenplum.org
DeveloperDrizzle project, originally started by Brian AkerPivotal Software Inc.Ignite Technologies Inc.; formerly InfoBright Inc.STS Soft SC
Initial release2008200520052011
Current release7.2.4, September 20127.0.0, September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPLv2, 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++CC#
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.yes infosince Version 4.2no
Secondary indexesyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesno
APIs and other access methodsJDBCJDBC
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languagesC
C++
Java
PHP
C
Java
Perl
Python
R
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
DrizzleGreenplumInfobrightSTSdb
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VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services
9 September 2019, AWS Blog

1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book]
6 December 2018, O'Reilly Media

RSA: EMC integrates Hadoop with Greenplum database
26 February 2013, DatacenterDynamics

Greenplum 6 ventures outside the analytic box | ZDNET
19 March 2019, ZDNet

Greenplum 6 review: Jack of all trades, master of some
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