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DBMS > Greenplum vs. GridGain vs. TDSQL for MySQL

System Properties Comparison Greenplum vs. GridGain vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonTDSQL for MySQL  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.GridGain is an in-memory computing platform, built on Apache IgniteA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegreenplum.orgwww.gridgain.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperPivotal Software Inc.GridGain Systems, Inc.Tencent
Initial release200520072013
Current release7.0.0, September 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hosted
Data schemeyesyesyes
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.yes infosince Version 4.2yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes
Triggersyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsUsers with fine-grained authorization concept

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More resources
GreenplumGridGainTDSQL for MySQL
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