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DBMS > BigObject vs. Google BigQuery vs. Greenplum

System Properties Comparison BigObject vs. Google BigQuery vs. Greenplum

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesLarge scale data warehouse service with append-only tablesAnalytic 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.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#321  Overall
#134  Relational DBMS
Score25.44
Rank#27  Overall
#16  Relational DBMS
Score11.98
Rank#39  Overall
#24  Relational DBMS
Websitewww.bigobject.iocloud.google.com/­bigquerypivotal.io/­pivotal-greenplum
Technical documentationdocs.bigobject.iocloud.google.com/­bigquery/­docsgpdb.docs.pivotal.io
DeveloperBigObject, Inc.GooglePivotal Software Inc.
Initial release201520102005
Current release5.10.0, July 2018
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
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.nonoyes infosince Version 4.2
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresLuauser defined functions infoin JavaScriptyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID
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 controlnoAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
BigObjectGoogle BigQueryGreenplum
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