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DBMS > Google BigQuery vs. OpenEdge

System Properties Comparison Google BigQuery vs. OpenEdge

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesApplication development environment with integrated database management system
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.47
Rank#28  Overall
#16  Relational DBMS
Score3.82
Rank#79  Overall
#41  Relational DBMS
Websitecloud.google.com/­bigquerywww.progress.com/­openedge
Technical documentationcloud.google.com/­bigquery/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperGoogleProgress Software Corporation
Initial release20101984
Current releaseOpenEdge 11.7, March 2017
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLyesyes infoclose to SQL 92
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Users and groups

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More resources
Google BigQueryOpenEdge
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