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DBMS > Greenplum vs. Microsoft Azure Table Storage vs. OrigoDB vs. SiteWhere vs. Teradata Aster

System Properties Comparison Greenplum vs. Microsoft Azure Table Storage vs. OrigoDB vs. SiteWhere vs. Teradata Aster

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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.A Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseM2M integration platform for persisting/querying time series dataPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSWide column storeDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegreenplum.orgazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.greenplum.orgorigodb.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperPivotal Software Inc.MicrosoftRobert Friberg et alSiteWhereTeradata
Initial release200520122009 infounder the name LiveDB20102005
Current release7.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyespredefined schemeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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 4.2nono infocan be achieved using .NETnoyes infoin Aster File Store
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoyesR packages
Triggersyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesRole based authorizationUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
GreenplumMicrosoft Azure Table StorageOrigoDBSiteWhereTeradata Aster
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