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DBMS > Google BigQuery vs. Microsoft Access vs. OrientDB vs. SQLite

System Properties Comparison Google BigQuery vs. Microsoft Access vs. OrientDB vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOrientDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Multi-model DBMS (Document, Graph, Key/Value)Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accessorientdb.orgwww.sqlite.org
Technical documentationcloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accesswww.orientdb.com/­docs/­last/­index.htmlwww.sqlite.org/­docs.html
DeveloperGoogleMicrosoftOrientDB LTD; CallidusCloud; SAPDwayne Richard Hipp
Initial release2010199220102000
Current release1902 (16.0.11328.20222), March 20193.2.29, March 20243.45.2  (12 March 2024), March 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAll OS with a Java JDK (>= JDK 6)server-less
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardSQL-like query language, no joinsyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engineJava, Javascriptno
Triggersnoyes infosince Access 2010 using the ACE-engineHooksyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Access rights for users and roles; record level security configurableno

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