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DBMS > BigObject vs. Google Cloud Spanner vs. Greenplum vs. OpenEdge

System Properties Comparison BigObject vs. Google Cloud Spanner vs. Greenplum vs. OpenEdge

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGreenplum  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Analytic 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.Application development environment with integrated database management system
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitebigobject.iocloud.google.com/­spannergreenplum.orgwww.progress.com/­openedge
Technical documentationdocs.bigobject.iocloud.google.com/­spanner/­docsdocs.greenplum.orgdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperBigObject, Inc.GooglePivotal Software Inc.Progress Software Corporation
Initial release2015201720051984
Current release7.0.0, September 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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)
hostedLinuxAIX
HP-UX
Linux
Solaris
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 4.2yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011yesyes infoclose to SQL 92
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresLuanoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
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.yesnonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers and groups

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More resources
BigObjectGoogle Cloud SpannerGreenplumOpenEdge
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