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DBMS > BigObject vs. Google BigQuery vs. Greenplum vs. Infobright

System Properties Comparison BigObject vs. Google BigQuery vs. Greenplum vs. Infobright

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonInfobright  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#312  Overall
#131  Relational DBMS
Score26.76
Rank#26  Overall
#15  Relational DBMS
Score12.14
Rank#40  Overall
#24  Relational DBMS
Score1.03
Rank#147  Overall
#71  Relational DBMS
Websitewww.bigobject.iocloud.google.com/­bigquerypivotal.io/­pivotal-greenplumwww.ignitetech.com/­solutions/­information-technology/­infobrightdb
Technical documentationdocs.bigobject.iocloud.google.com/­bigquery/­docsgpdb.docs.pivotal.io
DeveloperBigObject, Inc.GooglePivotal Software Inc.Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release2015201020052005
Current release5.10.0, July 2018
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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)
hostedLinuxLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 4.2no
Secondary indexesyesnoyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuauser defined functions infoin JavaScriptyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
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-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
BigObjectGoogle BigQueryGreenplumInfobright
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