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DBMS > Amazon Redshift vs. BigObject vs. Greenplum vs. Hazelcast vs. Microsoft Azure SQL Database

System Properties Comparison Amazon Redshift vs. BigObject vs. Greenplum vs. Hazelcast vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigObject  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for real-time computations and queriesAnalytic 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 gridDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­redshiftbigobject.iogreenplum.orghazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bigobject.iodocs.greenplum.orghazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAmazon (based on PostgreSQL)BigObject, Inc.Pivotal Software Inc.HazelcastMicrosoft
Initial release20122015200520082010
Current release7.0.0, September 20235.3.6, November 2023V12
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAll OS with a Java VMhosted
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infosince Version 4.2yes infothe object must implement a serialization strategyyes
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonLuayesyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersnonoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes infoReplicated Mapyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftBigObjectGreenplumHazelcastMicrosoft Azure SQL Database infoformerly SQL Azure
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