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DBMS > Google Cloud Spanner vs. Ingres vs. Realm vs. SQLite

System Properties Comparison Google Cloud Spanner vs. Ingres vs. Realm vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonIngres  Xexclude from comparisonRealm  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA 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.Well established RDBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­spannerwww.actian.com/­databases/­ingresrealm.iowww.sqlite.org
Technical documentationcloud.google.com/­spanner/­docsdocs.actian.com/­ingresrealm.io/­docswww.sqlite.org/­docs.html
DeveloperGoogleActian CorporationRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release20171974 infooriginally developed at University Berkely in early 1970s20142000
Current release11.2, May 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoPublic Domain
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 languageCC
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
server-less
Data schemeyesyesyesyes 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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesnoyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
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 proceduresnoyesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Ingres Replicatornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes infovia file-system locks
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.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyesno

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More resources
Google Cloud SpannerIngresRealmSQLite
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