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DBMS > Coveo vs. Prometheus vs. Realm vs. SQLite

System Properties Comparison Coveo vs. Prometheus vs. Realm vs. SQLite

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonPrometheus  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 developmentOpen-source Time Series DBMS and monitoring systemA 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 engineTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.coveo.comprometheus.iorealm.iowww.sqlite.org
Technical documentationdocs.coveo.comprometheus.io/­docsrealm.io/­docswww.sqlite.org/­docs.html
DeveloperCoveoRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release2012201520142000
Current release3.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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 languageGoC
Server operating systemshostedLinux
Windows
Android
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 dateyesNumeric data onlyyesyes 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 infoImport of XML data possiblenono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
Java
JavaScript
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.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 nodesyesyes infoby Federationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
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 filtersnoyesno

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