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DBMS > CrateDB vs. Drizzle vs. Greenplum

System Properties Comparison CrateDB vs. Drizzle vs. Greenplum

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGreenplum  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.
DescriptionDistributed Date Store based on LuceneMySQL 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.
Primary database modelRelational DBMS
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.90
Rank#183  Overall
#87  Relational DBMS
#11  Search engines
Score13.76
Rank#42  Overall
#26  Relational DBMS
Websitecrate.iogreenplum.org
Technical documentationcrate.io/­docsdocs.greenplum.org
DeveloperCrateDrizzle project, originally started by Brian AkerPivotal Software Inc.
Initial release201320082005
Current release7.2.4, September 20126.7.1, April 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoGNU GPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java 7 (and higher) VMFreeBSD
Linux
OS X
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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 4.2
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBCJDBC
ODBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Java
PHP
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBDrizzleGreenplum
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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CrateDBDrizzleGreenplum
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Recent citations in the news

Crate.io Launches CrateOM: a Smart Solution Digitalizing and Optimizing Operational Processes
23 November 2021, Business Wire

CrateDB 4.5 is Now Available as an Open Source Database
25 March 2021, Database Trends and Applications

Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
15 April 2021, GlobeNewswire

Crate.io Announces CrateDB Will Switch to an Elasticsearch Fork Following License Change
11 February 2021, GlobeNewswire

Crate.io raises $10M to grow its database platform
15 June 2021, VentureBeat

provided by Google News

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

Capitalizing on Analytics and AI at Dell Technologies
8 April 2021, CIO

Pivotal Greenplum Analytic Database Adds Multicloud Support
18 September 2017, SDxCentral

Pivotal Greenplum streamlines big data query optimization
11 March 2016, TechTarget

Pivotal’s Greenplum data warehouse software is now open source
27 October 2015, VentureBeat

provided by Google News

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