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DBMS > GBase vs. Greenplum vs. GridGain vs. Vitess

System Properties Comparison GBase vs. Greenplum vs. GridGain vs. Vitess

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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.GridGain is an in-memory computing platform, built on Apache IgniteScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
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
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.gbase.cngreenplum.orgwww.gridgain.comvitess.io
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlvitess.io/­docs
DeveloperGeneral Data Technology Co., Ltd.Pivotal Software Inc.GridGain Systems, Inc.The Linux Foundation, PlanetScale
Initial release2004200520072013
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 2023GridGain 8.5.115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial, open sourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, C++, .Net, Python, REST, SQLGo
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyes infosince Version 4.2yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLStandard with numerous extensionsyesANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensions
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax
Triggersyesyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization concept infono user groups or roles

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More resources
GBaseGreenplumGridGainVitess
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