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DBMS > BigObject vs. Greenplum vs. SpaceTime

System Properties Comparison BigObject vs. Greenplum vs. SpaceTime

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGreenplum  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAnalytic 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.SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Websitebigobject.iogreenplum.orgwww.mireo.com/­spacetime
Technical documentationdocs.bigobject.iodocs.greenplum.org
DeveloperBigObject, Inc.Pivotal Software Inc.Mireo
Initial release201520052020
Current release7.0.0, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 4.2no
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesA subset of ANSI SQL is implemented
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresLuayesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
BigObjectGreenplumSpaceTime
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