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DBMS > Google BigQuery vs. Oracle vs. PouchDB vs. SAP Adaptive Server

System Properties Comparison Google BigQuery vs. Oracle vs. PouchDB vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle  Xexclude from comparisonPouchDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used RDBMSJavaScript DBMS with an API inspired by CouchDBThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score37.12
Rank#25  Overall
#17  Relational DBMS
Websitecloud.google.com/­bigquerywww.oracle.com/­databasepouchdb.comwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­databasepouchdb.com/­guideshelp.sap.com/­docs/­SAP_ASE
DeveloperGoogleOracleApache Software FoundationSAP, Sybase
Initial release2010198020121987
Current release23c, September 20237.1.1, June 201916.0
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScriptC and C++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesyes infoSchemaless in JSON and XML columnsschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnono
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
JavaScriptC
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptPL/SQL infoalso stored procedures in Java possibleView functions in JavaScriptJava and Transact-SQL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be realized in PL/SQLyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoisolation level can be parameterizednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Google BigQueryOraclePouchDBSAP Adaptive Server infoformer name: Sybase ASE
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