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

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

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRealm  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA 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.A 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 modelSearch engineRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.coveo.comcloud.google.com/­spannerrealm.iowww.sqlite.org
Technical documentationdocs.coveo.comcloud.google.com/­spanner/­docsrealm.io/­docswww.sqlite.org/­docs.html
DeveloperCoveoGoogleRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release2012201720142000
Current release3.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedAndroid
Backend: server-less
iOS
Windows
server-less
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes 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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
Java
JavaScript
Python
Go
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 proceduresnonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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.noyes infoIn-Memory realmyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
CoveoGoogle Cloud SpannerRealmSQLite
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