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DBMS > Amazon SimpleDB vs. GBase vs. Greenplum vs. Ignite

System Properties Comparison Amazon SimpleDB vs. GBase vs. Greenplum vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreWidely 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.gbase.cngreenplum.orgignite.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.greenplum.orgapacheignite.readme.io/­docs
DeveloperAmazonGeneral Data Technology Co., Ltd.Pivotal Software Inc.Apache Software Foundation
Initial release2007200420052015
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 2023Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .Net
Server operating systemshostedLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyesyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
Amazon SimpleDBGBaseGreenplumIgnite
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