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DBMS > Greenplum vs. MySQL vs. Sphinx

System Properties Comparison Greenplum vs. MySQL vs. Sphinx

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic 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.Widely used open source RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APISearch engine
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.96
Rank#39  Overall
#24  Relational DBMS
Score1283.06
Rank#2  Overall
#2  Relational DBMS
Score7.39
Rank#47  Overall
#5  Search engines
Websitepivotal.io/­pivotal-greenplumwww.mysql.comsphinxsearch.com
Technical documentationgpdb.docs.pivotal.iodev.mysql.com/­docsphinxsearch.com/­docs
DeveloperPivotal Software Inc.Oracle infosince 2010, originally MySQL AB, then SunSphinx Technologies Inc.
Initial release200519952001
Current release5.10.0, July 20188.0.17, July 20193.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version 2, commercial licence available
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.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 4.2yes
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
Java
Perl
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes infoproprietary syntaxno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

More information provided by the system vendor

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