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DBMS > Amazon DocumentDB vs. Greenplum vs. Hazelcast vs. Trafodion vs. UniData,UniVerse

System Properties Comparison Amazon DocumentDB vs. Greenplum vs. Hazelcast vs. Trafodion vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonTrafodion  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic 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.A widely adopted in-memory data gridTransactional SQL-on-Hadoop DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteaws.amazon.com/­documentdbgreenplum.orghazelcast.comtrafodion.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.greenplum.orghazelcast.org/­imdg/­docstrafodion.apache.org/­documentation.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperPivotal Software Inc.HazelcastApache Software Foundation, originally developed by HPRocket Software
Initial release20192005200820141985
Current release7.0.0, September 20235.3.6, November 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC
Server operating systemshostedLinuxAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 4.2yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor ServicesJava Stored Proceduresyes
Triggersnoyesyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyes infoReplicated Mapyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDone or two-phase-commit; repeatable reads; read commitedACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
Amazon DocumentDBGreenplumHazelcastTrafodionUniData,UniVerse
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